Pas pour l'IA

Nvidia V100 SXM2 ne peut pas exécuter les modèles d'IA actuels.

Son architecture Volta est en dessous de la compute capability exigée par les runtimes d'inférence actuels : PyTorch et vLLM n'y fonctionnent pas. Les tarifs ci-dessous restent valables pour d'autres charges. Voir les GPU compatibles →

datacenter

Nvidia logo Louer Nvidia V100 SXM2.

Volta 32GB VRAM From $0.23/hr
Per hour
$0.23
Per day
$5.52
Per week
$38.64
Per month
$166
Cloud instance options

Pre-configured instances on hyperscalers.

Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).

Cheapest bundle
$2.14/hr
Lowest $/hr per GPU
$0.27/hr
Providers
4
Instance shapes
28
Provider Instance GPUs vCPU RAM Disk $/hr $/hr per GPU
VM.GPU3.1 1× — — — $2.95/hr $2.95/hr
VM.GPU3.1 1× — — — $2.95/hr $2.95/hr
VM.GPU3.1 1× — — — $2.95/hr $2.95/hr
p3.2xlarge 1× — — — $3.06/hr $3.06/hr
p3.2xlarge 1× — — — $3.06/hr $3.06/hr
p3.2xlarge 1× — — — $3.06/hr $3.06/hr
VM.GPU3.2 2× — — — $5.90/hr $2.95/hr
VM.GPU3.2 2× — — — $5.90/hr $2.95/hr
VM.GPU3.2 2× — — — $5.90/hr $2.95/hr
VM.GPU3.4 4× — — — $11.80/hr $2.95/hr
VM.GPU3.4 4× — — — $11.80/hr $2.95/hr
VM.GPU3.4 4× — — — $11.80/hr $2.95/hr
p3.8xlarge 4× — — — $12.24/hr $3.06/hr
p3.8xlarge 4× — — — $12.24/hr $3.06/hr
p3.8xlarge 4× — — — $12.24/hr $3.06/hr
8x V100_16G_SXM2 8× 48 180 GB 500 GB $2.14/hr $0.27/hr
ND40rs_v2 8× — — — $22.03/hr $2.75/hr
ND40rs_v2 8× — — — $22.03/hr $2.75/hr
ND40rs_v2 8× — — — $22.03/hr $2.75/hr
BM.GPU3.8 8× — — — $23.60/hr $2.95/hr
BM.GPU3.8 8× — — — $23.60/hr $2.95/hr
BM.GPU3.8 8× — — — $23.60/hr $2.95/hr
p3.16xlarge 8× — — — $24.48/hr $3.06/hr
p3.16xlarge 8× — — — $24.48/hr $3.06/hr
p3.16xlarge 8× — — — $24.48/hr $3.06/hr
p3dn.24xlarge 8× — — — $31.21/hr $3.90/hr
p3dn.24xlarge 8× — — — $31.21/hr $3.90/hr
p3dn.24xlarge 8× — — — $31.21/hr $3.90/hr
Looking for the cheapest rate?
Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper. See raw rental rates on the Overview tab →
FAQ

Cloud instances — common questions.

What's a cloud instance bundle for the Nvidia V100 SXM2?
A pre-configured VM that pairs the Nvidia V100 SXM2 with a fixed amount of vCPU, RAM, and SSD on a hyperscaler (AWS, Google Cloud, Azure, Oracle, Vultr, etc.). You pay one hourly rate for the whole bundle; the per-GPU rate on the table is just the bundle price divided by the GPU count.
Why is per-GPU pricing on instances different from raw GPU rental rates?
Hyperscaler bundles include managed networking, premium NVMe storage, an SLA, and 24/7 support. P2P marketplaces (Vast.ai, RunPod community, io.net) skip those line items, which is why their raw GPU rates are often 3–10× cheaper. The trade-off is reliability and integration: a hyperscaler instance plugs into your existing VPC, IAM, and observability stack out of the box.
Which hyperscaler is cheapest for the Nvidia V100 SXM2?
Sort the table by the $/hr per GPU column — the lowest row is the cheapest hyperscaler today. Pricing shifts as providers re-price spot capacity and refresh quotas, so the leader can change week to week. Click Launch on a row to head to that provider's sign-up page (affiliate link, doesn't change the rate you pay).
Can I run my own image or container on these instances?
Yes. All listed hyperscalers expose standard compute APIs — bring your own AMI/image, mount custom volumes, install your own drivers, run any container runtime you like. The bundle just sets the hardware shape; the OS layer is yours to configure.
How do I get the cheapest rate on the Nvidia V100 SXM2 overall?
If you can tolerate a P2P marketplace, the Overview tab's "Where to rent it" table usually has the lowest hourly rate by a wide margin. Use a hyperscaler bundle only when you need managed networking, SLAs, or are already inside that cloud's ecosystem (compliance, data-egress costs, IAM).