Cloudera Public Cloud service rates

The table below reflects hourly pricing for Cloudera Public Cloud Services offerings. The prices reflected do not include infrastructure cost. Infrastructure pricing is available through the respective cloud providers.

Amazon Web Services
Microsoft Azure
Google Cloud Platform (GCP)

Data Engineering - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Core Rate/hr	All-Purpose Rate/hr
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$6.7200	$19.2000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6g.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6g.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6g.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6g.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6g.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6gd.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6gd.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6gd.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6gd.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6gd.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m7g.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m7g.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m7g.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m7g.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m7g.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m7gd.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m7gd.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m7gd.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m7gd.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m7gd.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000

r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6a.large	Memory Optimized	1	2	16	0	1.67	$0.1167	$0.3333
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.2333	$0.6667
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$7.4667	$21.3333
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$11.2000	$32.0000
r6g.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6g.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6g.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6g.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6g.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6gd.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6gd.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6gd.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6gd.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6gd.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$7.4667	$21.3333
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$7.4667	$21.3333
r7g.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r7g.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r7g.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r7g.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r7g.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r7gd.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r7gd.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r7gd.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r7gd.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r7gd.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.8400	$2.4000
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c5.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5ad.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5ad.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.8400	$2.4000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$4.4800	$12.8000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333

i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.4492	$1.2833
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.8983	$2.5667
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$1.7967	$5.1333

Data Warehouse - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
r5d.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r5ad.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r5dn.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r6id.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r6gd.4xlarge*	Memory Optimized	8	16	128	0	13.33	$0.9333
r7gd.4xlarge*	Memory Optimized	8	16	128	0	13.33	$0.9333

*The ARM based instances only support Impala virtual warehouses currently

Machine Learning - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.large	General Purpose	1	2	8	0	1.00	$0.2000
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m5d.large	General Purpose	1	2	8	0	1.00	$0.2000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m5a.large	General Purpose	1	2	8	0	1.00	$0.2000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m7a.large	General Purpose	1	2	8	0	1.00	$0.2000
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m7a.metal-48xl	General Purpose	96	192	768	0	96.00	$19.2000
m7i.large	General Purpose	1	2	8	0	1.00	$0.2000
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m7i.metal-24xl	General Purpose	48	96	384	0	48.00	$9.6000
m7i.metal-48xl	General Purpose	96	192	768	0	96.00	$19.2000
m7i-flex.large	General Purpose	1	2	8	0	1.00	$0.2000
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000

r4.xlarge	Memory Optimized	2	4	31	0	3.25	$0.6500
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$1.2833
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$2.5667
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$5.1333
r4.16xlarge	Memory Optimized	32	64	488	0	51.33	$10.2667
r5.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r5.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r5d.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r5a.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r5a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6i.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6id.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7a.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7a.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7i.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r7i.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7i.metal-24xl	Memory Optimized	48	96	768	0	80.00	$16.0000
r7i.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7iz.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7iz.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7iz.metal-16xl	Memory Optimized	32	64	512	0	53.33	$10.6667
r7iz.metal-32xl	Memory Optimized	64	128	1024	0	106.67	$21.3333
z1d.large	Memory Optimized	1	2	16	0	1.67	$0.3333
z1d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
z1d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
z1d.3xlarge	Memory Optimized	6	12	96	0	10.00	$2.0000
z1d.6xlarge	Memory Optimized	12	24	192	0	20.00	$4.0000
z1d.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000

c4.2xlarge	Compute Optimized	4	8	15	0	2.58	$0.5167
c4.4xlarge	Compute Optimized	8	16	30	0	5.17	$1.0333
c4.8xlarge	Compute Optimized	18	36	60	0	11.00	$2.2000
c5.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$2.4000
c5.18xlarge	Compute Optimized	36	72	144	0	24.00	$4.8000
c5d.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$2.4000
c5d.18xlarge	Compute Optimized	36	72	144	0	24.00	$4.8000
c6a.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c6i.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c6id.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c7a.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7a.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c7a.metal-48xl	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7i.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i.metal-24xl	Compute Optimized	48	96	192	0	32.00	$6.4000
c7i.metal-48xl	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i-flex.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7i-flex.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7i-flex.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7i-flex.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7i-flex.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333

i3.xlarge	Storage Optimized	2	4	31	0	3.25	$0.6500
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$1.2833
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$2.5667
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$5.1333
i3.16xlarge	Storage Optimized	32	64	488	0	51.33	$10.2667

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$1.8358
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$7.3433
p3.16xlarge	GPU Optimized	32	64	488	8	51.33	$14.6867
p4d.24xlarge	GPU Optimized	48	96	1152	8	112.00	$25.04
p5.48xlarge	GPU Optimized	96	192	2048	8	256.00	$51.2000
g4dn.xlarge	GPU Optimized	2	4	16	1	2.00	$0.5200
g4dn.2xlarge	GPU Optimized	4	8	32	1	4.00	$0.8000
g4dn.4xlarge	GPU Optimized	8	16	64	1	8.00	$1.3600
g4dn.8xlarge	GPU Optimized	16	32	128	1	16.00	$2.4800
g4dn.12xlarge	GPU Optimized	24	48	192	4	24.00	$4.3200
g4dn.16xlarge	GPU Optimized	32	64	256	1	32.00	$4.7200
g4dn.metal	GPU Optimized	48	96	384	8	48.00	$8.6400
g5.xlarge	GPU Optimized	2	4	16	1	4.00	$0.8000
g5.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.2000
g5.4xlarge	GPU Optimized	8	16	64	1	10.00	$1.4000
g5.8xlarge	GPU Optimized	16	32	128	1	18.00	$2.5200
g5.12xlarge	GPU Optimized	24	48	192	4	32.00	$4.4800
g5.16xlarge	GPU Optimized	32	64	256	1	34.00	$4.7600
g5.24xlarge	GPU Optimized	48	96	384	4	56.00	$7.8400
g5.48xlarge	GPU Optimized	96	192	768	8	112.00	$15.6800
g6.xlarge	GPU Optimized	2	4	16	1	4.00	$0.8000
g6.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.2000
g6.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.0000
g6.8xlarge	GPU Optimized	16	32	128	1	18.00	$3.6000
g6.12xlarge	GPU Optimized	24	48	192	4	32.00	$6.4000
g6.16xlarge	GPU Optimized	32	64	256	1	34.00	$6.8000
g6.24xlarge	GPU Optimized	48	96	384	4	56.00	$11.2000
g6.48xlarge	GPU Optimized	96	192	768	4	112.00	$22.4000
gr6.4xlarge	GPU Optimized	8	16	128	1	15.33	$3.0667
gr6.8xlarge	GPU Optimized	16	32	256	1	28.67	$5.7333
g6e.xlarge	GPU Optimized	2	4	32	1	7.33	$1.4667
g6e.2xlarge	GPU Optimized	4	8	64	1	10.67	$2.1333
g6e.4xlarge	GPU Optimized	8	16	128	1	17.33	$3.4667
g6e.8xlarge	GPU Optimized	16	32	256	1	30.67	$6.1333
g6e.16xlarge	GPU Optimized	32	64	512	1	57.33	$11.4667
g6e.12xlarge	GPU Optimized	24	48	384	4	56.00	$11.2000
g6e.24xlarge	GPU Optimized	48	96	768	4	96.00	$19.2000
g6e.48xlarge	GPU Optimized	96	192	1536	8	192.00	$38.4000

AI Inference - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m5.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6a.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m6i.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m6id.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m7a.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m7a.metal-48xl	General Purpose	96	192	768	0	96.00	$24.0000
m7i.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m7i.metal-24xl	General Purpose	48	96	384	0	48.00	$12.0000
m7i.metal-48xl	General Purpose	96	192	768	0	96.00	$24.0000
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$1.5000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000

r4.xlarge	Memory Optimized	2	4	31	0	3.25	$1.5000
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$1.6042
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$3.2083
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$6.4167
r4.16xlarge	Memory Optimized	32	64	488	0	51.33	$12.8333
r5.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r5.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r5a.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r5a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6i.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6id.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7a.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r7i.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7i.metal-24xl	Memory Optimized	48	96	768	0	80.00	$20.0000
r7i.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7iz.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7iz.metal-16xl	Memory Optimized	32	64	512	0	53.33	$13.3333
r7iz.metal-32xl	Memory Optimized	64	128	1024	0	106.67	$26.6667
z1d.xlarge	Memory Optimized	2	4	32	0	3.33	$1.5000
z1d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
z1d.3xlarge	Memory Optimized	6	12	96	0	10.00	$2.5000
z1d.6xlarge	Memory Optimized	12	24	192	0	20.00	$5.0000
z1d.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000

c4.2xlarge	Compute Optimized	4	8	15	0	2.58	$1.5000
c4.4xlarge	Compute Optimized	8	16	30	0	5.17	$1.5000
c4.8xlarge	Compute Optimized	18	36	60	0	11.00	$2.7500
c5.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$3.0000
c5.18xlarge	Compute Optimized	36	72	144	0	24.00	$6.0000
c5d.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$3.0000
c5d.18xlarge	Compute Optimized	36	72	144	0	24.00	$6.0000
c6a.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c6i.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c6id.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c7a.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c7a.metal-48xl	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i.metal-24xl	Compute Optimized	48	96	192	0	32.00	$8.0000
c7i.metal-48xl	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i-flex.xlarge	Compute Optimized	2	4	8	0	1.33	$1.5000
c7i-flex.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7i-flex.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7i-flex.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667

i3.xlarge	Storage Optimized	2	4	31	0	3.25	$1.5000
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$1.6042
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$3.2083
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$6.4167
i3.16xlarge	Storage Optimized	32	64	488	0	51.33	$12.8333

p3.2xlarge	GPU Optimized	4	8	61	1	7.75	$1.9375
p3.8xlarge	GPU Optimized	16	32	244	4	31.00	$7.7500
p3.16xlarge	GPU Optimized	32	64	488	8	62.00	$15.5000
p4d.24xlarge	GPU Optimized	48	96	1152	8	138.67	$34.6667
p5.48xlarge	GPU Optimized	96	192	2048	8	256.00	$64.0000
g4dn.xlarge	GPU Optimized	2	4	16	1	3.33	$1.5000
g4dn.2xlarge	GPU Optimized	4	8	32	1	5.33	$1.5000
g4dn.4xlarge	GPU Optimized	8	16	64	1	9.33	$2.3333
g4dn.8xlarge	GPU Optimized	16	32	128	1	17.33	$4.3333
g4dn.12xlarge	GPU Optimized	24	48	192	4	29.33	$7.3333
g4dn.16xlarge	GPU Optimized	32	64	256	1	33.33	$8.3333
g4dn.metal	GPU Optimized	48	96	384	8	58.67	$14.6667
g5.xlarge	GPU Optimized	2	4	16	1	4.00	$1.5000
g5.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.5000
g5.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.5000
g5.8xlarge	GPU Optimized	16	32	128	1	18.00	$4.5000
g5.12xlarge	GPU Optimized	24	48	192	4	32.00	$8.0000
g5.16xlarge	GPU Optimized	32	64	256	1	34.00	$8.5000
g5.24xlarge	GPU Optimized	48	96	384	4	56.00	$14.0000
g5.48xlarge	GPU Optimized	96	192	768	8	112.00	$28.0000
g6.xlarge	GPU Optimized	2	4	16	1	4.00	$1.5000
g6.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.5000
g6.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.5000
g6.8xlarge	GPU Optimized	16	32	128	1	18.00	$4.5000
g6.16xlarge	GPU Optimized	32	64	256	1	34.00	$8.5000
g6.12xlarge	GPU Optimized	24	48	192	4	32.00	$8.0000
g6.24xlarge	GPU Optimized	48	96	384	4	56.00	$14.0000
g6.48xlarge	GPU Optimized	96	192	768	4	112.00	$28.0000
gr6.4xlarge	GPU Optimized	8	16	128	1	15.33	$3.8333
gr6.8xlarge	GPU Optimized	16	32	256	1	28.67	$7.1667
g6e.xlarge	GPU Optimized	2	4	32	1	7.33	$1.8333
g6e.2xlarge	GPU Optimized	4	8	64	1	10.67	$2.6667
g6e.4xlarge	GPU Optimized	8	16	128	1	17.33	$4.3333
g6e.8xlarge	GPU Optimized	16	32	256	1	30.67	$7.6667
g6e.16xlarge	GPU Optimized	32	64	512	1	57.33	$14.3333
g6e.12xlarge	GPU Optimized	24	48	384	4	56.00	$14.0000
g6e.24xlarge	GPU Optimized	48	96	768	4	96.00	$24.0000
g6e.48xlarge	GPU Optimized	96	192	1536	8	192.00	$48.0000

Data Hub - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Data Hub Rate/hr
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5ad.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5ad.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5ad.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5dn.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5dn.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5dn.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5dn.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5dn.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5dn.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5dn.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5n.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5n.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5n.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$2.8800
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6idn.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6idn.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6idn.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6idn.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6idn.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6idn.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m6idn.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m6idn.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m6in.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6in.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6in.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6in.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6in.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6in.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m6in.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m6in.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$3.8400
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$3.8400
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400

r4.xlarge	Memory Optimized	2	4	30.5	0	3.21	$0.1283
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$0.2567
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$0.5133
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$1.0000
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5ad.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5ad.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.0000
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$2.4000
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$2.4000
r5dn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5dn.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5dn.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5dn.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5dn.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5n.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5n.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5n.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5n.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$4.2667
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6idn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6idn.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6idn.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6idn.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6idn.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6idn.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6idn.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6idn.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6in.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6in.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6in.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6in.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6in.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6in.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6in.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6in.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$4.2667
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$6.4000
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r7i.48xlarge	Memory Optimized	96	192	1,536	0	160.00	$6.4000
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7iz.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
x1e.2xlarge	Memory Optimized	4	8	244	0	21.67	$0.8667
x1e.4xlarge	Memory Optimized	8	16	488	0	43.33	$1.0000
x1e.8xlarge	Memory Optimized	16	32	976	0	86.67	$2.6000
x1e.16xlarge	Memory Optimized	32	64	1952	0	173.33	$5.2000

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.4800
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c5a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c5a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6in.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6in.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6in.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6in.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6in.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6in.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6in.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600

d2.xlarge	Storage Optimized	2	4	30.5	0	3.21	$0.1283
d2.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.2567
d2.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.5133
d2.8xlarge	Storage Optimized	18	36	244	0	26.33	$1.0000
d3.xlarge	Storage Optimized	2	4	32	0	3.33	$0.1333
d3.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
d3.4xlarge	Storage Optimized	8	16	128	0	13.33	$0.5333
d3.8xlarge	Storage Optimized	16	32	256	0	26.67	$1.0000
d3en.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.1600
d3en.4xlarge	Storage Optimized	8	16	64	0	8.00	$0.3200
d3en.6xlarge	Storage Optimized	12	24	96	0	12.00	$0.4800
d3en.8xlarge	Storage Optimized	16	32	128	0	16.00	$0.6400
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.2567
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.5133
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$1.0000
i3en.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
i3en.3xlarge	Storage Optimized	6	12	96	0	10.00	$0.4000
i3en.6xlarge	Storage Optimized	12	24	192	0	20.00	$0.8000
i3en.12xlarge	Storage Optimized	24	48	384	0	40.00	$1.0000
i4i.xlarge	Storage Optimized	2	4	32	0	3.33	$0.1333
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
i4i.4xlarge	Storage Optimized	8	16	128	0	13.33	$0.5333
i4i.8xlarge	Storage Optimized	16	32	256	0	26.67	$1.0667
i4i.12xlarge	Storage Optimized	24	48	384	0	40.00	$1.6000
i4i.16xlarge	Storage Optimized	32	64	512	0	53.33	$2.1333
i4i.24xlarge	Storage Optimized	48	96	768	0	80.00	$3.2000
i4i.32xlarge	Storage Optimized	64	128	1,024	0	106.67	$4.2667
h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.1600
h1.4xlarge	Storage Optimized	8	16	64	0	8.00	$0.3200
h1.8xlarge	Storage Optimized	16	32	128	0	16.00	$0.6400

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$1.1942
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$4.7500

Data Hub - Flow Management - AWS instances

The Flow Management rate applies to all nodes in a Data Hub Cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5ad.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5ad.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5ad.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5dn.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5dn.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5dn.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5dn.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5dn.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5dn.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5dn.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5n.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5n.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5n.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6idn.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6idn.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6idn.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6idn.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6idn.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6idn.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6idn.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6idn.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6in.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6in.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6in.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6in.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6in.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6in.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6in.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6in.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000

r4.xlarge	Memory Optimized	2	4	30.5	0	3.21	$0.4813
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$0.9625
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$1.9250
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$3.8500
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5ad.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5ad.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r5dn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5dn.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5dn.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5dn.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5dn.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5n.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5n.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5n.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5n.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$16.0000
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6idn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6idn.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6idn.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6idn.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6idn.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6idn.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6idn.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6idn.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6in.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6in.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6in.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6in.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6in.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6in.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6in.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6in.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$16.0000
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$24.0000
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r7i.48xlarge	Memory Optimized	96	192	1,536	0	160.00	$24.0000
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7iz.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
x1e.2xlarge	Memory Optimized	4	8	244	0	21.67	$3.2500
x1e.4xlarge	Memory Optimized	8	16	488	0	43.33	$6.5000
x1e.8xlarge	Memory Optimized	16	32	976	0	86.67	$13.0000
x1e.16xlarge	Memory Optimized	32	64	1952	0	173.33	$26.0000

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$1.8000
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c5a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c5a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6in.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6in.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6in.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6in.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6in.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6in.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6in.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000

d2.xlarge	Storage Optimized	2	4	30.5	0	3.21	$0.4813
d2.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.9625
d2.4xlarge	Storage Optimized	8	16	122	0	12.83	$1.9250
d2.8xlarge	Storage Optimized	18	36	244	0	26.33	$3.9500
d3.xlarge	Storage Optimized	2	4	32	0	3.33	$0.5000
d3.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
d3.4xlarge	Storage Optimized	8	16	128	0	13.33	$2.0000
d3.8xlarge	Storage Optimized	16	32	256	0	26.67	$4.0000
d3en.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.6000
d3en.4xlarge	Storage Optimized	8	16	64	0	8.00	$1.2000
d3en.6xlarge	Storage Optimized	12	24	96	0	12.00	$1.8000
d3en.8xlarge	Storage Optimized	16	32	128	0	16.00	$2.4000
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.9625
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$1.9250
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$3.8500
i3en.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
i3en.3xlarge	Storage Optimized	6	12	96	0	10.00	$1.5000
i3en.6xlarge	Storage Optimized	12	24	192	0	20.00	$3.0000
i3en.12xlarge	Storage Optimized	24	48	384	0	40.00	$6.0000
i4i.xlarge	Storage Optimized	2	4	32	0	3.33	$0.5000
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
i4i.4xlarge	Storage Optimized	8	16	128	0	13.33	$2.0000
i4i.8xlarge	Storage Optimized	16	32	256	0	26.67	$4.0000
i4i.12xlarge	Storage Optimized	24	48	384	0	40.00	$6.0000
i4i.16xlarge	Storage Optimized	32	64	512	0	53.33	$8.0000
i4i.24xlarge	Storage Optimized	48	96	768	0	80.00	$12.0000
i4i.32xlarge	Storage Optimized	64	128	1,024	0	106.67	$16.0000
h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.6000
h1.4xlarge	Storage Optimized	8	16	64	0	8.00	$1.2000
h1.8xlarge	Storage Optimized	16	32	128	0	16.00	$2.4000

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$0.9625
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$3.8500

Operational Database - AWS instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m5.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800

r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$2.1333

c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.2800

h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.3200
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.5133
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.5333

* Instance type is auto-selected by Operational Database based on workload needs

DataFlow Deployments & Test Sessions - AWS instances

Node Type	vCPUs	Memory	GPU	CCUs	Rate/hr
Extra Small	2	4	0	0.67	$0.2000
Small	3	6	0	1.00	$0.3000
Medium	6	12	0	2.00	$0.6000
Large	12	24	0	4.00	$1.2000

*Note: Test Sessions always use the Extra Small node type

DataFlow Functions - AWS

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See DataFlow Functions examples

*Notes:

Pricing Volume Tiers are per individual DataFlow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of DataFlow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - AWS instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5ad.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5ad.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5ad.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5ad.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5ad.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5ad.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5ad.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5d.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5d.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5d.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5d.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5d.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5d.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5d.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5dn.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5dn.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5dn.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5dn.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5dn.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5dn.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5dn.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5n.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5n.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5n.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6a.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6a.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m6i.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6i.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6i.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6i.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6i.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6i.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6i.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6i.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6id.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6id.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6id.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6id.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6id.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6id.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6id.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6id.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6idn.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6idn.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6idn.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6idn.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6idn.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6idn.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6idn.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6idn.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6in.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6in.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6in.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6in.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6in.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6in.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6in.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6in.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m7a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m7a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m7a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m7a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m7a.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m7a.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m7i.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7i.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7i.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7i.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m7i.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m7i.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m7i.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m7i.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m7i-flex.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7i-flex.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7i-flex.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7i-flex.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440

r4.xlarge	Memory optimized	2	4	30.5	0.00	3.21	$0.0289
r4.2xlarge	Memory optimized	4	8	61	0.00	6.42	$0.0578
r4.4xlarge	Memory optimized	8	16	122	0.00	12.83	$0.1155
r4.8xlarge	Memory optimized	16	32	244	0.00	25.67	$0.2310
r5.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5n.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5n.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5n.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5n.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5d.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5d.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5d.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5d.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5d.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r5d.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5d.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r5dn.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5dn.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5dn.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5dn.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5dn.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5ad.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5ad.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5ad.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5ad.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5ad.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r5ad.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5ad.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6a.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6a.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6a.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6a.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6a.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6i.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6i.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6i.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6i.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6i.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6i.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6i.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6i.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6id.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6id.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6id.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6id.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6id.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6id.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6id.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6id.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6idn.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6idn.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6idn.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6idn.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6idn.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6idn.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6idn.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6idn.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6in.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6in.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6in.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6in.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6in.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6in.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6in.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6in.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r7a.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7a.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7a.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7a.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r7a.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r7a.48xlarge	Memory optimized	96	192	1536	0.00	160.00	$1.4400
r7i.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7i.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7i.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7i.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7i.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7i.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7i.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r7i.48xlarge	Memory optimized	96	192	1536	0.00	160.00	$1.4400
r7iz.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7iz.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7iz.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7iz.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7iz.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7iz.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7iz.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
x1e.2xlarge	Memory optimized	4	8	244	0.00	21.67	$0.1950
x1e.4xlarge	Memory optimized	8	16	488	0.00	43.33	$0.3900
x1e.8xlarge	Memory optimized	16	32	976	0.00	86.67	$0.7800
x1e.16xlarge	Memory optimized	32	64	1952	0.00	173.33	$1.5600

c5.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c5.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c5.9xlarge	Compute optimized	18	36	72	0.00	12.00	$0.1080
c5.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c5a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c5a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c5a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c5a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6a.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6a.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6a.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6a.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760
c6i.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6i.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6i.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6i.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6i.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6i.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6i.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6id.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6id.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6id.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6id.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6id.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6id.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6id.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6in.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6in.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6in.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6in.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6in.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6in.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6in.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c7a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c7a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c7a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c7a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c7a.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c7a.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c7a.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c7a.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760
c7i.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c7i.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c7i.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c7i.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c7i.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c7i.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c7i.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760

i3.2xlarge	Storage optimized	4	8	61	0.00	6.42	$0.0578
i3.4xlarge	Storage optimized	8	16	122	0.00	12.83	$0.1155
i3.8xlarge	Storage optimized	16	32	244	0.00	25.67	$0.2310
i3en.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
i3en.3xlarge	Storage optimized	6	12	96	0.00	10.00	$0.0900
i3en.6xlarge	Storage optimized	12	24	192	0.00	20.00	$0.1800
i3en.12xlarge	Storage optimized	24	48	384	0.00	40.00	$0.3600
i4i.xlarge	Storage optimized	2	4	32	0.00	3.33	$0.0300
i4i.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
i4i.4xlarge	Storage optimized	8	16	128	0.00	13.33	$0.1200
i4i.8xlarge	Storage optimized	16	32	256	0.00	26.67	$0.2400
i4i.12xlarge	Storage optimized	24	48	384	0.00	40.00	$0.3600
i4i.16xlarge	Storage optimized	32	64	512	0.00	53.33	$0.4800
i4i.24xlarge	Storage optimized	48	96	768	0.00	80.00	$0.7200
i4i.32xlarge	Storage optimized	64	128	1024	0.00	106.67	$0.9600
h1.2xlarge	Storage optimized	4	8	32	0.00	4.00	$0.0360
h1.4xlarge	Storage optimized	8	16	64	0.00	8.00	$0.0720
h1.8xlarge	Storage optimized	16	32	128	0.00	16.00	$0.1440
d2.xlarge	Storage optimized	2	4	30.5	0.00	3.21	$0.0289
d2.2xlarge	Storage optimized	4	8	61	0.00	6.42	$0.0578
d2.4xlarge	Storage optimized	8	16	122	0.00	12.83	$0.1155
d2.8xlarge	Storage optimized	18	36	244	0.00	26.33	$0.2370
d3.xlarge	Storage optimized	2	4	32	0.00	3.33	$0.0300
d3.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
d3.4xlarge	Storage optimized	8	16	128	0.00	13.33	$0.1200
d3.8xlarge	Storage optimized	16	32	256	0.00	26.67	$0.2400
d3en.2xlarge	Storage optimized	4	8	32	0.00	4.00	$0.0360
d3en.4xlarge	Storage optimized	8	16	64	0.00	8.00	$0.0720
d3en.6xlarge	Storage optimized	12	24	96	0.00	12.00	$0.1080
d3en.8xlarge	Storage optimized	16	32	128	0.00	16.00	$0.1440

p3.2xlarge	GPU optimized	4	8	61	1.00	6.42	$0.0578
p3.8xlarge	GPU optimized	16	32	244	4.00	25.67	$0.2310

Private Link Network Connection - AWS

Type of Private Link Network Connection	Price per hour
VPC	$0.50
Authorization	$5.00

Data Engineering - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Core Rate/hr	All-Purpose Rate/hr
D8s v4	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16s v4	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32s v4	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D64s v4	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D8as v4	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16as v4	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32as v4	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48as v4	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64as v4	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D4as v5	General Purpose	2	4	16	0	2.00	$0.1400	$0.4000
D8as v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16as v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32as v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48as v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64as v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D8ds v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16ds v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32ds v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48ds v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64ds v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D96ds v5	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
D8s v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16s v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32s v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48s v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64s v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D96s v5	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000

E8s v3	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16s v3	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E32s v3	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E64s v3	Memory Optimized	32	64	432	0	46.67	$3.2667	$9.3333
E8s v4	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16s v4	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E32s v4	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E64s v4	Memory Optimized	32	64	504	0	52.67	$3.6867	$10.5333
E8as v4	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16as v4	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20as v4	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32as v4	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48as v4	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64as v4	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96as v4	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000
E8ads v5	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16ads v5	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20ads v5	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32ads v5	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48ads v5	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64ads v5	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96ads v5	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000
E8as v5	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16as v5	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20as v5	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32as v5	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48as v5	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64as v5	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96as v5	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000

F8s v2	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
F16s v2	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
F32s v2	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
F48s v2	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
F72s v2	Compute Optimized	36	72	144	0	24.00	$1.6800	$4.8000

* Instance type is auto-selected by Operational Database based on workload needs

Data Warehouse - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
E16 v3	Memory optimized	8	16	128	0	13.33	$0.9333
E16ds v4	Memory-optimized	8	16	128	0	13.33	$0.9333
E16ads v5	Memory optimized	8	16	128	0	13.33	$0.9333
E16ds v5	Memory optimized	8	16	128	0	13.33	$0.9333
E16pds v5*	Memory Optimized	8	16	128	0	13.33	$0.9333

*The ARM based instances only support Impala virtual warehouses currently

Machine Learning - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
DS3 v2	General purpose	2	4	14	0	1.83	$0.3667
DS4 v2	General purpose	4	8	28	0	3.67	$0.7333
DS5 v2	General purpose	8	16	56	0	7.33	$1.4667
D3 v2	General purpose	2	4	14	0	1.83	$0.3667
D8s v3	General purpose	4	8	32	0	4	$0.8000
D16s v3	General purpose	8	16	64	0	8	$1.6000
D32s v3	General purpose	16	32	128	0	16	$3.2000
D64s v3	General purpose	32	64	256	0	32	$6.4000
D8 v3	General purpose	4	8	32	0	4	$0.8000
D16 v3	General purpose	8	16	64	0	8	$1.6000
D32 v3	General purpose	16	32	128	0	16	$3.2000
D64 v3	General purpose	32	64	256	0	32	$6.4000
DS12 v2	General purpose	2	4	28	0	3	$0.6000
DS13 v2	General purpose	4	8	56	0	6	$1.2000
DS14 v2	General purpose	8	16	112	0	12	$2.4000
DS15 v2	General purpose	10	20	140	0	15	$3.0000
D12 v2	General purpose	2	4	28	0	3	$0.6000
D13 v2	General purpose	4	8	56	0	6	$1.2000
D14 v2	General purpose	8	16	112	0	12	$2.4000
D15 v2	General purpose	10	20	140	0	15	$3.0000
D4as v4	General purpose	2	4	16	0	2	$0.4000
D8as v4	General purpose	4	8	32	0	4	$0.8000
D16as v4	General purpose	8	16	64	0	8	$1.6000
D32as v4	General purpose	16	32	128	0	16	$3.2000
D48as v4	General purpose	24	48	192	0	24	$4.8000
D64as v4	General purpose	32	64	256	0	32	$6.4000
D96as v4	General purpose	48	96	384	0	48	$9.6000
D4as v5	General purpose	2	4	16	0	2	$0.4000
D8as v5	General purpose	4	8	32	0	4	$0.8000
D16as v5	General purpose	8	16	64	0	8	$1.6000
D32as v5	General purpose	16	32	128	0	16	$3.2000
D48as v5	General purpose	24	48	192	0	24	$4.8000
D64as v5	General purpose	32	64	256	0	32	$6.4000
D96as v5	General purpose	48	96	384	0	48	$9.6000

E8s v3	Memory optimized	4	8	64	0	6.67	$1.3333
E16s v3	Memory optimized	8	16	128	0	13.33	$2.6667
E32s v3	Memory optimized	16	32	256	0	26.67	$5.3333
E64s v3	Memory optimized	32	64	432	0	46.67	$9.3333

L4s	Storage optimized	2	4	32	0	3.33	$0.6667
L8s	Storage optimized	4	8	64	0	6.67	$1.3333
L16s	Storage optimized	8	16	128	0	13.33	$2.6667
L32s	Storage optimized	16	32	256	0	26.67	$5.3333
L8s v2	Storage optimized	4	8	64	0	6.67	$1.3333
L16s v2	Storage optimized	8	16	128	0	13.33	$2.6667
L32s v2	Storage optimized	16	32	256	0	26.67	$5.3333
L64s v2	Storage optimized	32	64	512	0	53.33	$10.6667
L80s v2	Storage optimized	40	80	640	0	66.67	$13.3333
F4s v2	Storage optimized	2	4	8	0	1.33	$0.2667
F8s v2	Storage optimized	4	8	16	0	2.67	$0.5333
F16s v2	Storage optimized	8	16	32	0	5.33	$1.0667
F32s v2	Storage optimized	16	32	64	0	10.67	$2.1333
F64s v2	Storage optimized	32	64	128	0	21.33	$4.2667
F72s v2	Storage optimized	36	72	144	0	24	$4.8000
F4	Storage optimized	2	4	8	0	1.33	$0.2667
F8	Storage optimized	4	8	16	0	2.67	$0.5333
F16	Storage optimized	8	16	32	0	5.33	$1.0667

H16	High performance	16	32	112	0	14.67	$2.9333

NC6	GPU Optimized	3	6	56	1	5.67	$0.9246
NC12	GPU Optimized	6	12	112	2	11.33	$1.8492
NC24	GPU Optimized	12	24	224	4	22.67	$3.6983
NC6s v3	GPU Optimized	3	6	112	1	10.33	$2.3842
NC12s v3	GPU Optimized	6	12	224	2	20.67	$4.7683
NC24s v3	GPU Optimized	12	24	448	4	41.33	$9.5367
NC4as T4 v3	GPU Optimized	2	4	28	1	3.00	$0.6600
NC8as T4 v3	GPU Optimized	4	8	56	1	6.00	$1.0800
NC16as T4 v3	GPU Optimized	8	16	110	1	11.83	$1.8967
NC64as T4 v3	GPU Optimized	32	64	440	4	47.33	$7.5867
NC24ads A100 v4	GPU Optimized	12	24	220	1	29.00	$5.8000
NC48ads A100 v4	GPU Optimized	24	48	440	2	58.00	$11.6000
NC96ads A100 v4	GPU Optimized	48	96	880	4	116.00	$23.2000
ND6s	GPU Optimized	6	12	112	1	11.33	$1.9467
ND12s	GPU Optimized	12	24	224	2	22.67	$3.8933
ND24s	GPU Optimized	24	48	448	4	45.33	$7.7867
ND96asr A100 v4	GPU Optimized	96	192	900	8	107.00	$24.3400
ND96amsr A100 v4	GPU Optimized	48	96	1900	8	227.67	$45.5333
ND96isr v5	GPU Optimized	48	96	1900	8	227.67	$45.5333
NV12s v3	GPU Optimized	6	12	112	1	11.33	$2.2667
NV24s v3	GPU Optimized	12	24	224	2	22.67	$3.4358
NV48s v3	GPU Optimized	24	48	448	4	45.33	$9.0667
NV36adms A10 v5	GPU Optimized	18	36	880	1	81.33	$16.2667
NV36ads A10 v5	GPU Optimized	18	36	440	1	44.67	$8.9333
NV72ads A10 v5	GPU Optimized	36	72	880	2	89.33	$17.8667

AI Inference - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
DS3 v2	General Purpose	2	4	14	0	1.83	$1.5000
DS4 v2	General Purpose	4	8	28	0	3.67	$1.5000
DS5 v2	General Purpose	8	16	56	0	7.33	$1.8333
D3 v2	General Purpose	2	4	14	0	1.83	$1.5000
D8s v3	General Purpose	4	8	32	0	4.00	$1.5000
D16s v3	General Purpose	8	16	64	0	8.00	$2.0000
D32s v3	General Purpose	16	32	128	0	16.00	$4.0000
D64s v3	General Purpose	32	64	256	0	32.00	$8.0000
D8 v3	General Purpose	4	8	32	0	4.00	$1.5000
D16 v3	General Purpose	8	16	64	0	8.00	$2.0000
D32 v3	General Purpose	16	32	128	0	16.00	$4.0000
D64 v3	General Purpose	32	64	256	0	32.00	$8.0000
DS12 v2	General Purpose	2	4	28	0	3.00	$1.5000
DS13 v2	General Purpose	4	8	56	0	6.00	$1.5000
DS14 v2	General Purpose	8	16	112	0	12.00	$3.0000
DS15 v2	General Purpose	10	20	140	0	15.00	$3.7500
D12 v2	General Purpose	2	4	28	0	3.00	$1.5000
D13 v2	General Purpose	4	8	56	0	6.00	$1.5000
D14 v2	General Purpose	8	16	112	0	12.00	$3.0000
D15 v2	General Purpose	10	20	140	0	15.00	$3.7500
D4as v4	General Purpose	2	4	16	0	2.00	$1.5000
D8as v4	General Purpose	4	8	32	0	4.00	$1.5000
D16as v4	General Purpose	8	16	64	0	8.00	$2.0000
D32as v4	General Purpose	16	32	128	0	16.00	$4.0000
D48as v4	General Purpose	24	48	192	0	24.00	$6.0000
D64as v4	General Purpose	32	64	256	0	32.00	$8.0000
D96as v4	General Purpose	48	96	384	0	48.00	$12.0000
D4as v5	General Purpose	2	4	16	0	2.00	$1.5000
D8as v5	General Purpose	4	8	32	0	4.00	$1.5000
D16as v5	General Purpose	8	16	64	0	8.00	$2.0000
D32as v5	General Purpose	16	32	128	0	16.00	$4.0000
D48as v5	General Purpose	24	48	192	0	24.00	$6.0000
D64as v5	General Purpose	32	64	256	0	32.00	$8.0000
D96as v5	General Purpose	48	96	384	0	48.00	$12.0000

E8s v3	Memory Optimized	4	8	64	0	6.67	$1.6667
E16s v3	Memory Optimized	8	16	128	0	13.33	$3.3333
E32s v3	Memory Optimized	16	32	256	0	26.67	$6.6667
E64s v3	Memory Optimized	32	64	432	0	46.67	$11.6667

L4s	Storage Optimized	2	4	32	0	3.33	$1.5000
L8s	Storage Optimized	4	8	64	0	6.67	$1.6667
L16s	Storage Optimized	8	16	128	0	13.33	$3.3333
L32s	Storage Optimized	16	32	256	0	26.67	$6.6667
L8s v2	Storage Optimized	4	8	64	0	6.67	$1.6667
L16s v2	Storage Optimized	8	16	128	0	13.33	$3.3333
L32s v2	Storage Optimized	16	32	256	0	26.67	$6.6667
L64s v2	Storage Optimized	32	64	512	0	53.33	$13.3333
L80s v2	Storage Optimized	40	80	640	0	66.67	$16.6667
F4s v2	Storage Optimized	2	4	8	0	1.33	$1.5000
F8s v2	Storage Optimized	4	8	16	0	2.67	$1.5000
F16s v2	Storage Optimized	8	16	32	0	5.33	$1.5000
F32s v2	Storage Optimized	16	32	64	0	10.67	$2.6667
F64s v2	Storage Optimized	32	64	128	0	21.33	$5.3333
F72s v2	Storage Optimized	36	72	144	0	24.00	$6.0000
F4	Storage Optimized	2	4	8	0	1.33	$1.5000
F8	Storage Optimized	4	8	16	0	2.67	$1.5000
F16	Storage Optimized	8	16	32	0	5.33	$1.5000

H16	High performance	16	32	112	0	14.67	$3.6667

NC6	GPU Optimized	3	6	56	1	7.67	$1.9167
NC12	GPU Optimized	6	12	112	2	15.33	$3.8333
NC24	GPU Optimized	12	24	224	4	30.67	$7.6667
NC6s v3	GPU Optimized	3	6	112	1	11.67	$2.9167
NC12s v3	GPU Optimized	6	12	224	2	23.33	$5.8333
NC24s v3	GPU Optimized	12	24	448	4	46.67	$11.6667
NC4as T4 v3	GPU Optimized	2	4	28	1	4.33	$1.5000
NC8as T4 v3	GPU Optimized	4	8	56	1	7.33	$1.8333
NC16as T4 v3	GPU Optimized	8	16	110	1	13.17	$3.2917
NC64as T4 v3	GPU Optimized	32	64	440	4	52.67	$13.1667
NC24ads A100 v4	GPU Optimized	12	24	220	1	29.00	$7.2500
NC48ads A100 v4	GPU Optimized	24	48	440	2	58.00	$14.5000
NC96ads A100 v4	GPU Optimized	48	96	880	4	116.00	$29.0000
ND6s	GPU Optimized	6	12	112	1	13.33	$3.3333
ND12s	GPU Optimized	12	24	224	2	26.67	$6.6667
ND24s	GPU Optimized	24	48	448	4	53.33	$13.3333
ND96asr A100 v4	GPU Optimized	96	192	900	8	113.67	$28.4167
ND96amsr A100 v4	GPU Optimized	48	96	1900	8	227.67	$56.9167
ND96isr v5	GPU Optimized	48	96	1900	8	227.67	$56.9167
NV12s v3	GPU Optimized	6	12	112	1	12.00	$3.0000
NV24s v3	GPU Optimized	12	24	224	2	24.00	$6.0000
NV48s v3	GPU Optimized	24	48	448	4	48.00	$12.0000
NV36adms A10 v5	GPU Optimized	18	36	880	1	81.33	$20.3333
NV36ads A10 v5	GPU Optimized	18	36	440	1	44.67	$11.1667
NV72ads A10 v5	GPU Optimized	36	72	880	2	89.33	$22.3333

Data Hub - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D5 v2	General purpose	8	16	56	0	7.33	$0.2933
D8 v3	General purpose	4	8	32	0	4.00	$0.1600
D16 v3	General purpose	8	16	64	0	8.00	$0.3200
D32 v3	General purpose	16	32	128	0	16.00	$0.6400
D64 v3	General purpose	32	64	256	0	32.00	$1.0000
D4s v3	General purpose	2	4	16	0	2.00	$0.0800
D8s v3	General purpose	4	8	32	0	4.00	$0.1600
D16s v3	General purpose	8	16	64	0	8.00	$0.3200
D32s v3	General purpose	16	32	128	0	16.00	$0.6400
D48s v3	General purpose	24	48	192	0	24.00	$0.9600
D64s v3	General purpose	32	64	256	0	32.00	$1.0000
D8a v4	General purpose	4	8	32	0	4.00	$0.1600
D16a v4	General purpose	8	16	64	0	8.00	$0.3200
D32a v4	General purpose	16	32	128	0	16.00	$0.6400
D64a v4	General purpose	32	64	256	0	32.00	$1.0000
D8as v4	General purpose	4	8	32	0	4.00	$0.1600
D16as v4	General purpose	8	16	64	0	8.00	$0.3200
D32as v4	General purpose	16	32	128	0	16.00	$0.6400
D64as v4	General purpose	32	64	256	0	32.00	$1.0000
D8 v5	General purpose	4	8	32	0	4.00	$0.1600
D16 v5	General purpose	8	16	64	0	8.00	$0.3200
D32 v5	General purpose	16	32	128	0	16.00	$0.6400
D48 v5	General purpose	24	48	192	0	24.00	$0.9600
D64 v5	General purpose	32	64	256	0	32.00	$1.0000
D8s v5	General purpose	4	8	32	0	4.00	$0.1600
D16s v5	General purpose	8	16	64	0	8.00	$0.3200
D32s v5	General purpose	16	32	128	0	16.00	$0.6400
D48s v5	General purpose	24	48	192	0	24.00	$0.9600
D64s v5	General purpose	32	64	256	0	32.00	$1.0000
D8as v5	General purpose	4	8	32	0	4.00	$0.1600
D16as v5	General purpose	8	16	64	0	8.00	$0.3200
D32as v5	General purpose	16	32	128	0	16.00	$0.6400
D48as v5	General purpose	24	48	192	0	24.00	$0.9600
D64as v5	General purpose	32	64	256	0	32.00	$1.0000
D2ds v5	General Purpose	1	2	8	0	1.00	$0.0400
D4ds v5	General Purpose	2	4	16	0	2.00	$0.0800
D8ds v5	General Purpose	4	8	32	0	4.00	$0.1600
D16ds v5	General Purpose	8	16	64	0	8.00	$0.3200
D32ds v5	General Purpose	16	32	128	0	16.00	$0.6400
D48ds v5	General Purpose	24	48	192	0	24.00	$0.9600
D64ds v5	General Purpose	32	64	256	0	32.00	$1.2800
D96ds v5	General Purpose	48	96	384	0	48.00	$1.9200
D4ads v5	General Purpose	2	4	16	0	2.00	$0.0800
D8ads v5	General Purpose	4	8	32	0	4.00	$0.1600
D16ads v5	General Purpose	8	16	64	0	8.00	$0.3200
D32ads v5	General Purpose	16	32	128	0	16.00	$0.6400
D48ads v5	General Purpose	24	48	192	0	24.00	$0.9600
D64ads v5	General Purpose	32	64	256	0	32.00	$1.2800
D96ads v5	General Purpose	48	96	384	0	48.00	$1.9200


D13 v2	Memory optimized	4	8	56	0	6.00	$0.2400
D14 v2	Memory optimized	8	16	112	0	12.00	$0.4800
E4 v3	Memory optimized	2	4	32	0	3.33	$0.1333
E8 v3	Memory optimized	4	8	64	0	6.67	$0.2667
E16 v3	Memory optimized	8	16	128	0	13.33	$0.5333
E32 v3	Memory optimized	16	32	256	0	26.67	$1.0000
E64 v3	Memory optimized	32	64	432	0	46.67	$1.0000
E4s v3	Memory optimized	2	4	32	0	3.33	$0.1333
E8s v3	Memory optimized	4	8	64	0	6.67	$0.2667
E16s v3	Memory optimized	8	16	128	0	13.33	$0.5333
E16-8s v3	Memory optimized	4	8	128	0	12.00	$0.4800
E20s v3	Memory optimized	10	20	160	0	16.67	$0.6667
E32s v3	Memory optimized	16	32	256	0	26.67	$1.0000
E48s v3	Memory optimized	24	48	384	0	40.00	$1.0000
E64s v3	Memory optimized	32	64	432	0	46.67	$1.0000
E8a v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16a v4	Memory optimized	8	16	128	0	13.33	$0.5333
E32a v4	Memory optimized	16	32	256	0	26.67	$1.0000
E64a v4	Memory optimized	32	64	512	0	53.33	$1.0000
E4s v4	Memory optimized	2	4	32	0	3.33	$0.1333
E8s v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16s v4	Memory optimized	8	16	128	0	13.33	$0.5333
E20s v4	Memory optimized	10	20	160	0	16.67	$0.6667
E32s v4	Memory optimized	16	32	256	0	26.67	$1.0000
E48s v4	Memory optimized	24	48	384	0	40.00	$1.0000
E64s v4	Memory optimized	32	64	504	0	52.67	$1.0000
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.1333
E8ds v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16ds v4	Memory optimized	8	16	128	0	13.33	$0.5333
E20ds v4	Memory optimized	10	20	160	0	16.67	$0.6667
E32ds v4	Memory optimized	16	32	256	0	26.67	$1.0000
E48ds v4	Memory optimized	24	48	384	0	40.00	$1.0000
E64ds v4	Memory optimized	32	64	504	0	52.67	$1.0000
E4a v4	Memory optimized	2	4	32	0	3.33	$0.1333
E4as v5	Memory optimized	2	4	32	0	3.33	$0.1333
E8as v5	Memory optimized	4	8	64	0	6.67	$0.2667
E16as v5	Memory optimized	8	16	128	0	13.33	$0.5333
E20as v5	Memory optimized	10	20	160	0	16.67	$0.6667
E32as v5	Memory optimized	16	32	256	0	26.67	$1.0000
E48as v5	Memory optimized	24	48	384	0	40.00	$1.0000
E64as v5	Memory optimized	32	64	512	0	53.33	$1.0000
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.1333
E8ds v5	Memory Optimized	4	8	64	0	6.67	$0.2667
E16ds v5	Memory Optimized	8	16	128	0	13.33	$0.5333
E20ds v5	Memory Optimized	10	20	160	0	16.67	$0.6667
E32ds v5	Memory Optimized	16	32	256	0	26.67	$1.0667
E48ds v5	Memory Optimized	24	48	384	0	40.00	$1.6000
E64ds v5	Memory Optimized	32	64	512	0	53.33	$2.1333
E96ds v5	Memory Optimized	48	96	672	0	72.00	$2.8800
E104ids v5	Memory Optimized	52	104	672	0	73.33	$2.9333
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.1333
E8s v5	Memory Optimized	4	8	64	0	6.67	$0.2667
E16s v5	Memory Optimized	8	16	128	0	13.33	$0.5333
E20s v5	Memory Optimized	10	20	160	0	16.67	$0.6667
E32s v5	Memory Optimized	16	32	256	0	26.67	$1.0667
E48s v5	Memory Optimized	24	48	384	0	40.00	$1.6000
E64s v5	Memory Optimized	32	64	512	0	53.33	$2.1333
E96s v5	Memory Optimized	48	96	672	0	72.00	$2.8800
E104is v5	Memory Optimized	52	104	672	0	73.33	$2.9333

F8s v2	Compute optimized	4	8	16	0	2.67	$0.1067
F16s v2	Compute optimized	8	16	32	0	5.33	$0.2133
F32s v2	Compute optimized	16	32	64	0	10.67	$0.4267

L8s v2	Storage optimized	4	8	64	0	6.67	$0.2667
L16s v2	Storage optimized	8	16	128	0	13.33	$0.5333
L32s v2	Storage optimized	16	32	256	0	26.67	$1.0000
L48s v2	Storage optimized	24	48	384	0	40.00	$1.0000
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.2667

NC6	GPU optimized	3	6	56	1	5.67	$0.3579
NC24r	GPU optimized	12	24	224	4	22.67	$1.4317
NC6s v3	GPU optimized	3	6	112	1	10.33	$1.3508
NC24s v3	GPU optimized	12	24	448	4	41.33	$4.7500

Data Hub - Flow Management - Azure instances

The Flow Management rate applies to all nodes in a Data Hub cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
D5 v2	General purpose	8	16	56	0	7.33	$1.1000
D8 v3	General purpose	4	8	32	0	4.00	$0.6000
D16 v3	General purpose	8	16	64	0	8.00	$1.2000
D32 v3	General purpose	16	32	128	0	16.00	$2.4000
D64 v3	General purpose	32	64	256	0	32.00	$4.8000
D4s v3	General purpose	2	4	16	0	2.00	$0.3000
D8s v3	General purpose	4	8	32	0	4.00	$0.6000
D16s v3	General purpose	8	16	64	0	8.00	$1.2000
D32s v3	General purpose	16	32	128	0	16.00	$2.4000
D48s v3	General purpose	24	48	192	0	24.00	$3.6000
D64s v3	General purpose	32	64	256	0	32.00	$4.8000
D8a v4	General purpose	4	8	32	0	4.00	$0.6000
D16a v4	General purpose	8	16	64	0	8.00	$1.2000
D32a v4	General purpose	16	32	128	0	16.00	$2.4000
D64a v4	General purpose	32	64	256	0	32.00	$4.8000
D8as v4	General purpose	4	8	32	0	4.00	$0.6000
D16as v4	General purpose	8	16	64	0	8.00	$1.2000
D32as v4	General purpose	16	32	128	0	16.00	$2.4000
D64as v4	General purpose	32	64	256	0	32.00	$4.8000
D8 v5	General purpose	4	8	32	0	4.00	$0.6000
D16 v5	General purpose	8	16	64	0	8.00	$1.2000
D32 v5	General purpose	16	32	128	0	16.00	$2.4000
D48 v5	General purpose	24	48	192	0	24.00	$3.6000
D64 v5	General purpose	32	64	256	0	32.00	$4.8000
D8s v5	General purpose	4	8	32	0	4.00	$0.6000
D16s v5	General purpose	8	16	64	0	8.00	$1.2000
D32s v5	General purpose	16	32	128	0	16.00	$2.4000
D48s v5	General purpose	24	48	192	0	24.00	$3.6000
D64s v5	General purpose	32	64	256	0	32.00	$4.8000
D8as v5	General purpose	4	8	32	0	4.00	$0.6000
D16as v5	General purpose	8	16	64	0	8.00	$1.2000
D32as v5	General purpose	16	32	128	0	16.00	$2.4000
D48as v5	General purpose	24	48	192	0	24.00	$3.6000
D64as v5	General purpose	32	64	256	0	32.00	$4.8000
D2ds v5	General Purpose	1	2	8	0	1.00	$0.1500
D4ds v5	General Purpose	2	4	16	0	2.00	$0.3000
D8ds v5	General Purpose	4	8	32	0	4.00	$0.6000
D16ds v5	General Purpose	8	16	64	0	8.00	$1.2000
D32ds v5	General Purpose	16	32	128	0	16.00	$2.4000
D48ds v5	General Purpose	24	48	192	0	24.00	$3.6000
D64ds v5	General Purpose	32	64	256	0	32.00	$4.8000
D96ds v5	General Purpose	48	96	384	0	48.00	$7.2000
D4ads v5	General Purpose	2	4	16	0	2.00	$0.3000
D8ads v5	General Purpose	4	8	32	0	4.00	$0.6000
D16ads v5	General Purpose	8	16	64	0	8.00	$1.2000
D32ads v5	General Purpose	16	32	128	0	16.00	$2.4000
D48ads v5	General Purpose	24	48	192	0	24.00	$3.6000
D64ads v5	General Purpose	32	64	256	0	32.00	$4.8000
D96ads v5	General Purpose	48	96	384	0	48.00	$7.2000

D13 v2	Memory optimized	4	8	56	0	6.00	$0.9000
D14 v2	Memory optimized	8	16	112	0	12.00	$1.8000
E4 v3	Memory optimized	2	4	32	0	3.33	$0.5000
E8 v3	Memory optimized	4	8	64	0	6.67	$1.0000
E16 v3	Memory optimized	8	16	128	0	13.33	$2.0000
E32 v3	Memory optimized	16	32	256	0	26.67	$4.0000
E64 v3	Memory optimized	32	64	432	0	46.67	$7.0000
E4s v3	Memory optimized	2	4	32	0	3.33	$0.5000
E8s v3	Memory optimized	4	8	64	0	6.67	$1.0000
E16s v3	Memory optimized	8	16	128	0	13.33	$2.0000
E16-8s v3	Memory optimized	4	8	128	0	12.00	$1.8000
E20s v3	Memory optimized	10	20	160	0	16.67	$2.5000
E32s v3	Memory optimized	16	32	256	0	26.67	$4.0000
E48s v3	Memory optimized	24	48	384	0	40.00	$6.0000
E64s v3	Memory optimized	32	64	432	0	46.67	$7.0000
E8a v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16a v4	Memory optimized	8	16	128	0	13.33	$2.0000
E32a v4	Memory optimized	16	32	256	0	26.67	$4.0000
E64a v4	Memory optimized	32	64	512	0	53.33	$8.0000
E4s v4	Memory optimized	2	4	32	0	3.33	$0.5000
E8s v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16s v4	Memory optimized	8	16	128	0	13.33	$2.0000
E20s v4	Memory optimized	10	20	160	0	16.67	$2.5000
E32s v4	Memory optimized	16	32	256	0	26.67	$4.0000
E48s v4	Memory optimized	24	48	384	0	40.00	$6.0000
E64s v4	Memory optimized	32	64	504	0	52.67	$7.9000
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.5000
E8ds v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16ds v4	Memory optimized	8	16	128	0	13.33	$2.0000
E20ds v4	Memory optimized	10	20	160	0	16.67	$2.5000
E32ds v4	Memory optimized	16	32	256	0	26.67	$4.0000
E48ds v4	Memory optimized	24	48	384	0	40.00	$6.0000
E64ds v4	Memory optimized	32	64	504	0	52.67	$7.9000
E4a v4	Memory optimized	2	4	32	0	3.33	$0.5000
E4as v5	Memory optimized	2	4	32	0	3.33	$0.5000
E8as v5	Memory optimized	4	8	64	0	6.67	$1.0000
E16as v5	Memory optimized	8	16	128	0	13.33	$2.0000
E20as v5	Memory optimized	10	20	160	0	16.67	$2.5000
E32as v5	Memory optimized	16	32	256	0	26.67	$4.0000
E48as v5	Memory optimized	24	48	384	0	40.00	$6.0000
E64as v5	Memory optimized	32	64	512	0	53.33	$8.0000
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.5000
E8ds v5	Memory Optimized	4	8	64	0	6.67	$1.0000
E16ds v5	Memory Optimized	8	16	128	0	13.33	$2.0000
E20ds v5	Memory Optimized	10	20	160	0	16.67	$2.5000
E32ds v5	Memory Optimized	16	32	256	0	26.67	$4.0000
E48ds v5	Memory Optimized	24	48	384	0	40.00	$6.0000
E64ds v5	Memory Optimized	32	64	512	0	53.33	$8.0000
E96ds v5	Memory Optimized	48	96	672	0	72.00	$10.8000
E104ids v5	Memory Optimized	52	104	672	0	73.33	$11.0000
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.5000
E8s v5	Memory Optimized	4	8	64	0	6.67	$1.0000
E16s v5	Memory Optimized	8	16	128	0	13.33	$2.0000
E20s v5	Memory Optimized	10	20	160	0	16.67	$2.5000
E32s v5	Memory Optimized	16	32	256	0	26.67	$4.0000
E48s v5	Memory Optimized	24	48	384	0	40.00	$6.0000
E64s v5	Memory Optimized	32	64	512	0	53.33	$8.0000
E96s v5	Memory Optimized	48	96	672	0	72.00	$10.8000
E104is v5	Memory Optimized	52	104	672	0	73.33	$11.0000

F8s v2	Compute optimized	4	8	16	0	2.67	$0.4000
F16s v2	Compute optimized	8	16	32	0	5.33	$0.8000
F32s v2	Compute optimized	16	32	64	0	10.67	$1.6000

L8s v2	Storage optimized	4	8	64	0	6.67	$1.0000
L16s v2	Storage optimized	8	16	128	0	13.33	$2.0000
L32s v2	Storage optimized	16	32	256	0	26.67	$4.0000
L48s v2	Storage optimized	24	48	384	0	40.00	$6.0000
L8as v3	Storage Optimized	4	8	64	0	6.67	$1.0000

NC6	GPU optimized	3	6	56	1	5.67	$0.8500
NC24r	GPU optimized	12	24	224	4	22.67	$3.4000
NC6s v3	GPU optimized	3	6	112	1	10.33	$1.5500
NC24s v3	GPU optimized	12	24	448	4	41.33	$6.2000

Operational Database - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D8 v3	General Purpose	4	8	32	0	4.00	$0.3200
D16 v3	General Purpose	8	16	64	0	8.00	$0.6400
D32 v3	General Purpose	16	32	128	0	16.00	$1.2800
D8s v3	General Purpose	4	8	32	0	4.00	$0.3200
D16s v3	General Purpose	8	16	64	0	8.00	$0.6400
D32s v3	General Purpose	16	32	128	0	16.00	$1.2800
D8a v4	General Purpose	4	8	32	0	4.00	$0.3200
D16a v4	General Purpose	8	16	64	0	8.00	$0.6400
D32a v4	General Purpose	16	32	128	0	16.00	$1.2800
D64a v4	General Purpose	32	64	256	0	32.00	$2.5600

E32s v3	Memory Optimized	16	32	256	0	26.67	$2.1333

L8s v2	Storage Optimized	4	8	64	0	6.67	$0.5333
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.5333

* Instance type is auto-selected by Operational Database based on workload needs

DataFlow Deployments & Test Sessions - Azure instances

Node Type	vCPUs	Memory	GPU	CCUs	Rate/hr
Extra Small	2	4	0	0.67	$0.2000
Small	3	6	0	1.00	$0.3000
Medium	6	12	0	2.00	$0.6000
Large	12	24	0	4.00	$1.2000

*Note: Test Sessions always use the Extra Small node type

DataFlow Functions - Azure

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See DataFlow Functions examples

*Notes:

Pricing Volume Tiers are per individual DataFlow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of DataFlow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D5 v2	General purpose	8	16	56	0	7.33	$0.0660
D8 v3	General purpose	4	8	32	0	4.00	$0.0360
D16 v3	General purpose	8	16	64	0	8.00	$0.0720
D32 v3	General purpose	16	32	128	0	16.00	$0.1440
D64 v3	General purpose	32	64	256	0	32.00	$0.2880
D4s v3	General purpose	2	4	16	0	2.00	$0.0180
D8s v3	General purpose	4	8	32	0	4.00	$0.0360
D16s v3	General purpose	8	16	64	0	8.00	$0.0720
D32s v3	General purpose	16	32	128	0	16.00	$0.1440
D48s v3	General purpose	24	48	192	0	24.00	$0.2160
D64s v3	General purpose	32	64	256	0	32.00	$0.2880
D8a v4	General purpose	4	8	32	0	4.00	$0.0360
D16a v4	General purpose	8	16	64	0	8.00	$0.0720
D32a v4	General purpose	16	32	128	0	16.00	$0.1440
D64a v4	General purpose	32	64	256	0	32.00	$0.2880
D8as v4	General purpose	4	8	32	0	4.00	$0.0360
D16as v4	General purpose	8	16	64	0	8.00	$0.0720
D32as v4	General purpose	16	32	128	0	16.00	$0.1440
D64as v4	General purpose	32	64	256	0	32.00	$0.2880
D8 v5	General purpose	4	8	32	0	4.00	$0.0360
D16 v5	General purpose	8	16	64	0	8.00	$0.0720
D32 v5	General purpose	16	32	128	0	16.00	$0.1440
D48 v5	General purpose	24	48	192	0	24.00	$0.2160
D64 v5	General purpose	32	64	256	0	32.00	$0.2880
D8s v5	General purpose	4	8	32	0	4.00	$0.0360
D16s v5	General purpose	8	16	64	0	8.00	$0.0720
D32s v5	General purpose	16	32	128	0	16.00	$0.1440
D48s v5	General purpose	24	48	192	0	24.00	$0.2160
D64s v5	General purpose	32	64	256	0	32.00	$0.2880
D8as v5	General purpose	4	8	32	0	4.00	$0.0360
D16as v5	General purpose	8	16	64	0	8.00	$0.0720
D32as v5	General purpose	16	32	128	0	16.00	$0.1440
D48as v5	General purpose	24	48	192	0	24.00	$0.2160
D64as v5	General purpose	32	64	256	0	32.00	$0.2880
D2ds v5	General Purpose	1	2	8	0	1.00	$0.0090
D4ds v5	General Purpose	2	4	16	0	2.00	$0.0180
D8ds v5	General Purpose	4	8	32	0	4.00	$0.0360
D16ds v5	General Purpose	8	16	64	0	8.00	$0.0720
D32ds v5	General Purpose	16	32	128	0	16.00	$0.1440
D48ds v5	General Purpose	24	48	192	0	24.00	$0.2160
D64ds v5	General Purpose	32	64	256	0	32.00	$0.2880
D96ds v5	General Purpose	48	96	384	0	48.00	$0.4320
D4ads v5	General Purpose	2	4	16	0	2.00	$0.0180
D8ads v5	General Purpose	4	8	32	0	4.00	$0.0360
D16ads v5	General Purpose	8	16	64	0	8.00	$0.0720
D32ads v5	General Purpose	16	32	128	0	16.00	$0.1440
D48ads v5	General Purpose	24	48	192	0	24.00	$0.2160
D64ads v5	General Purpose	32	64	256	0	32.00	$0.2880
D96ads v5	General Purpose	48	96	384	0	48.00	$0.4320

D13 v2	Memory optimized	4	8	56	0	6.00	$0.0540
D14 v2	Memory optimized	8	16	112	0	12.00	$0.1080
E4 v3	Memory optimized	2	4	32	0	3.33	$0.0300
E8 v3	Memory optimized	4	8	64	0	6.67	$0.0600
E16 v3	Memory optimized	8	16	128	0	13.33	$0.1200
E32 v3	Memory optimized	16	32	256	0	26.67	$0.2400
E64 v3	Memory optimized	32	64	432	0	46.67	$0.4200
E4s v3	Memory optimized	2	4	32	0	3.33	$0.0300
E8s v3	Memory optimized	4	8	64	0	6.67	$0.0600
E16s v3	Memory optimized	8	16	128	0	13.33	$0.1200
E16-8s v3	Memory optimized	4	8	128	0	12.00	$0.1080
E20s v3	Memory optimized	10	20	160	0	16.67	$0.1500
E32s v3	Memory optimized	16	32	256	0	26.67	$0.2400
E48s v3	Memory optimized	24	48	384	0	40.00	$0.3600
E64s v3	Memory optimized	32	64	432	0	46.67	$0.4200
E8a v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16a v4	Memory optimized	8	16	128	0	13.33	$0.1200
E32a v4	Memory optimized	16	32	256	0	26.67	$0.2400
E64a v4	Memory optimized	32	64	512	0	53.33	$0.4800
E4s v4	Memory optimized	2	4	32	0	3.33	$0.0300
E8s v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16s v4	Memory optimized	8	16	128	0	13.33	$0.1200
E20s v4	Memory optimized	10	20	160	0	16.67	$0.1500
E32s v4	Memory optimized	16	32	256	0	26.67	$0.2400
E48s v4	Memory optimized	24	48	384	0	40.00	$0.3600
E64s v4	Memory optimized	32	64	504	0	52.67	$0.4740
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.0300
E8ds v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16ds v4	Memory optimized	8	16	128	0	13.33	$0.1200
E20ds v4	Memory optimized	10	20	160	0	16.67	$0.1500
E32ds v4	Memory optimized	16	32	256	0	26.67	$0.2400
E48ds v4	Memory optimized	24	48	384	0	40.00	$0.3600
E64ds v4	Memory optimized	32	64	504	0	52.67	$0.4740
E4a v4	Memory optimized	2	4	32	0	3.33	$0.0300
E4as v5	Memory optimized	2	4	32	0	3.33	$0.0300
E8as v5	Memory optimized	4	8	64	0	6.67	$0.0600
E16as v5	Memory optimized	8	16	128	0	13.33	$0.1200
E20as v5	Memory optimized	10	20	160	0	16.67	$0.1500
E32as v5	Memory optimized	16	32	256	0	26.67	$0.2400
E48as v5	Memory optimized	24	48	384	0	40.00	$0.3600
E64as v5	Memory optimized	32	64	512	0	53.33	$0.4800
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.0300
E8ds v5	Memory Optimized	4	8	64	0	6.67	$0.0600
E16ds v5	Memory Optimized	8	16	128	0	13.33	$0.1200
E20ds v5	Memory Optimized	10	20	160	0	16.67	$0.1500
E32ds v5	Memory Optimized	16	32	256	0	26.67	$0.2400
E48ds v5	Memory Optimized	24	48	384	0	40.00	$0.3600
E64ds v5	Memory Optimized	32	64	512	0	53.33	$0.4800
E96ds v5	Memory Optimized	48	96	672	0	72.00	$0.6480
E104ids v5	Memory Optimized	52	104	672	0	73.33	$0.6600
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.0300
E8s v5	Memory Optimized	4	8	64	0	6.67	$0.0600
E16s v5	Memory Optimized	8	16	128	0	13.33	$0.1200
E20s v5	Memory Optimized	10	20	160	0	16.67	$0.1500
E32s v5	Memory Optimized	16	32	256	0	26.67	$0.2400
E48s v5	Memory Optimized	24	48	384	0	40.00	$0.3600
E64s v5	Memory Optimized	32	64	512	0	53.33	$0.4800
E96s v5	Memory Optimized	48	96	672	0	72.00	$0.6480
E104is v5	Memory Optimized	52	104	672	0	73.33	$0.6600

F8s v2	Compute optimized	4	8	16	0	2.67	$0.0240
F16s v2	Compute optimized	8	16	32	0	5.33	$0.0480
F32s v2	Compute optimized	16	32	64	0	10.67	$0.0960

L8s v2	Storage optimized	4	8	64	0	6.67	$0.0600
L16s v2	Storage optimized	8	16	128	0	13.33	$0.1200
L32s v2	Storage optimized	16	32	256	0	26.67	$0.2400
L48s v2	Storage optimized	24	48	384	0	40	$0.3600
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.0600

NC6	GPU optimized	3	6	56	1	5.67	$0.0510
NC24r	GPU optimized	12	24	224	4	22.67	$0.2040
NC6s v3	GPU optimized	3	6	112	1	10.33	$0.0930
NC24s v3	GPU optimized	12	24	448	4	41.33	$0.3720

Data Hub - GCP Instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
e2-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
e2-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.0383
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.0767
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.1533
n1-standard-16	General Purpose	8	16	60	0	7.67	$0.3067
n1-standard-32	General Purpose	16	32	120	0	15.33	$0.6133
n1-standard-64	General Purpose	32	64	240	0	30.67	$1.0000
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n2-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n2-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n2-standard-64	General Purpose	32	64	256	0	32.00	$1.0000
n2-standard-80	General Purpose	40	80	320	0	40.00	$1.0000
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n2d-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n2d-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n2d-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n2d-standard-64	General Purpose	32	64	256	0	32.00	$1.0000
n2d-standard-80	General Purpose	40	80	320	0	40.00	$1.0000
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n4-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n4-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n4-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n4-standard-64	General Purpose	32	64	256	0	32.00	$1.2800
n4-standard-80	General Purpose	40	80	320	0	40.00	$1.6000

e2-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
e2-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.0667
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.1333
n2-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
n2-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2-highmem-32	High Memory	16	32	256	0	26.67	$1.0667
n2-highmem-48	High Memory	24	48	384	0	40.00	$1.6000
n2-highmem-64	High Memory	32	64	512	0	53.33	$2.1333
n2-highmem-80	High Memory	40	80	640	0	66.67	$2.6667
n2-highmem-96	High Memory	48	96	768	0	80.00	$3.2000
n2-highmem-128	High Memory	64	128	864	0	93.33	$3.7333
n2d-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2d-highmem-32	High Memory	16	32	256	0	26.67	$1.0000
n2d-highmem-64	High Memory	32	64	512	0	53.33	$1.0000
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.0667
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.1333
n4-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
n4-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n4-highmem-32	High Memory	16	32	256	0	26.67	$1.0667
n4-highmem-48	High Memory	24	48	384	0	40.00	$1.6000
n4-highmem-64	High Memory	32	64	512	0	53.33	$2.1333
n4-highmem-80	High Memory	40	80	640	0	66.67	$2.6667

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.0800
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.1600
e2-highcpu-32	High Compute	16	32	32	0	8.00	$0.3200
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.0800
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.1600
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$0.3200

Data Hub - Flow Management - GCP Instances

The Flow Management rate applies to all nodes in a Data Hub cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
e2-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
e2-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.1438
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.2875
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.5750
n1-standard-16	General Purpose	8	16	60	0	7.67	$1.1500
n1-standard-32	General Purpose	16	32	120	0	15.33	$2.3000
n1-standard-64	General Purpose	32	64	240	0	30.67	$4.6000
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n2-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n2-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n2-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n2-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n2-standard-80	General Purpose	40	80	320	0	40.00	$6.0000
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n2d-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n2d-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n2d-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n2d-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n2d-standard-80	General Purpose	40	80	320	0	40.00	$6.0000
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n4-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n4-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n4-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n4-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n4-standard-80	General Purpose	40	80	320	0	40.00	$6.0000

e2-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
e2-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.2500
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.5000
n2-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
n2-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n2-highmem-48	High Memory	24	48	384	0	40.00	$6.0000
n2-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n2-highmem-80	High Memory	40	80	640	0	66.67	$10.0000
n2-highmem-96	High Memory	48	96	768	0	80.00	$12.0000
n2-highmem-128	High Memory	64	128	864	0	93.33	$14.0000
n2d-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2d-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n2d-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.2500
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.5000
n4-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
n4-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n4-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n4-highmem-48	High Memory	24	48	384	0	40.00	$6.0000
n4-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n4-highmem-80	High Memory	40	80	640	0	66.67	$10.0000

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.3000
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.6000
e2-highcpu-32	High Compute	16	32	32	0	8.00	$1.2000
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.3000
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.6000
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$1.2000

Operational Database - GCP Instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.3200
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.6400
n2-standard-32	General Purpose	16	32	128	0	16.00	$1.2800

n2d-highmem-32	High Memory	16	32	256	0	26.67	$2.1333

DataFlow Functions - GCP Instances

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See DataFlow Functions examples

*Notes:

Pricing Volume Tiers are per individual DataFlow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of DataFlow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - GCP Instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
e2-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
e2-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.0086
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.0173
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.0345
n1-standard-16	General Purpose	8	16	60	0	7.67	$0.0690
n1-standard-32	General Purpose	16	32	120	0	15.33	$0.1380
n1-standard-64	General Purpose	32	64	240	0	30.67	$0.2760
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n2-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n2-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n2-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n2-standard-80	General Purpose	40	80	320	0	40.00	$0.3600
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n2d-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n2d-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n2d-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n2d-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n2d-standard-80	General Purpose	40	80	320	0	40.00	$0.3600
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n4-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n4-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n4-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n4-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n4-standard-80	General Purpose	40	80	320	0	40.00	$0.3600

e2-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
e2-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.0150
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.0300
n2-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
n2-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n2-highmem-48	High Memory	24	48	384	0	40.00	$0.3600
n2-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n2-highmem-80	High Memory	40	80	640	0	66.67	$0.6000
n2-highmem-96	High Memory	48	96	768	0	80.00	$0.7200
n2-highmem-128	High Memory	64	128	864	0	93.33	$0.8400
n2d-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2d-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n2d-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.0150
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.0300
n4-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
n4-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n4-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n4-highmem-48	High Memory	24	48	384	0	40.00	$0.3600
n4-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n4-highmem-80	High Memory	40	80	640	0	66.67	$0.6000

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.0180
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.0360
e2-highcpu-32	High Compute	16	32	32	0	8.00	$0.0720
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.0180
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.0360
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$0.0720

Misa Amane

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Data Warehouse - AWS instances

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AI Inference - AWS instances

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Data Engineering - Azure instances

Data Warehouse - Azure instances

Machine Learning - Azure instances

AI Inference - Azure instances

Data Hub - Azure instances

Data Hub - Flow Management - Azure instances

Operational Database - Azure instances

DataFlow Deployments & Test Sessions - Azure instances

DataFlow Functions - Azure

Observability Premium - Azure instances

Data Hub - GCP Instances

Data Hub - Flow Management - GCP Instances

Operational Database - GCP Instances

DataFlow Functions - GCP Instances

Observability Premium - GCP Instances

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