Nvidia V100S
Higher-clocked V100 variant for legacy GPU workloads.
- Arch
- Volta
- Memory
- 32 GB HBM2
- Bandwidth
- 1.13 TB/s
- Released
- Q4 2019
Price history
Weekly median price per GPU per hour
At a glance Updated 18 hours ago
- Cheapest
- $0.88 /GPU/hr
- on-demand · not verified in stock
- Median price (current)
- --
- 90-day trend
- --
- Coverage
- 1 provider
- 3 price points
Pricing & availability
How this list works
The two views
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
Order
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
- Location: datacenter proximity, blended with provider HQ.
- Price: hourly price, per GPU and in total.
- Billing type: reserved ahead of spot, spot ahead of quote-only.
- Specs: more VRAM, vCPUs and RAM.
- Provider diversity: a provider's repeat rows rank slightly lower, so one company can't take all the top spots.
Search
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
Transparency and funding
- Ads and sponsors: Paid placements sit at the top of the list and are always labeled as sponsored content. Sponsorship never influences the organic ranking itself.
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
- Prices: Shown in USD, converted at daily reference rates where a provider publishes in another currency. A month means 720 hours. How we estimate costs.
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
What can the V100S run?
One V100S has 32 GB of VRAM. In practice, that's enough memory for roughly 34B parameters at 4-bit or 9B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | V100Ss needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
19 GB
|
1
|
–
|
–
|
|
|
24 GB
|
1
|
–
|
–
|
|
|
68 GB
|
3
|
–
|
–
|
|
|
178 GB
|
7
|
–
|
–
|
|
|
241 GB
|
9
|
–
|
–
|
|
|
306 GB
|
11
|
–
|
–
|
|
|
1,545 GB
|
54
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP16/BF16 KV cache at 32K context per request. GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Technical Specifications
Nvidia V100S · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 130 TFLOPS |
| FP32 | 16.4 TFLOPS |
| FP64 | 8.2 TFLOPS |
| Precision support | FP16FP32FP64INT8 |
| Memory | |
|---|---|
| Capacity | 32 GB HBM2 |
| Bandwidth | 1,134 GB/s |
| Bus width | 4,096-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Volta |
| Process | TSMC 12nm FFN |
| Transistors | 21.1 billion |
| Shader cores | 5,120 CUDA cores |
| Matrix cores | 640 Tensor cores |
| Compute units | 80 SMs |
| Fabric and host | |
|---|---|
| GPU interconnect | NVLink 300 GB/s |
| Host interface | PCIe 3.0 |
| Power | |
|---|---|
| Board power | 250 W |
| Cooling | Passive |
Source: official Nvidia V100S datasheet.
Frequently Asked Questions
How much does the V100S cost per hour?
-
As of September 12, 2026, we track 3 configs from 1 provider. Prices are per GPU per hour.
Billing type Configs Cheapest On-demand
3
$0.88
No median for on-demand: we only show this when at least 3 providers list the GPU on that billing type.
Who has the cheapest V100S?
-
The lowest listed on-demand price for the V100S is $0.88 per GPU per hour from OVHcloud, though we haven't verified current stock.
Where can I rent a V100S?
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GetDeploying currently tracks V100S configs from 1 provider. See the full price comparison above for every provider and config.
How many V100S GPUs do I need?
-
One V100S runs models up to roughly 34B parameters at 4-bit quantization or 9B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
Why choose the V100S?
-
32GB HBM2 with slightly higher clocks than the V100. 300 GB/s NVLink. Low-cost option for development and experimentation.
Alternatives to Nvidia V100S
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