Nvidia V100

Nvidia V100

Legacy data center GPU with FP64 support for scientific computing.

Arch
Volta
Memory
32 GB HBM2
Bandwidth
900 GB/s
Released
Q2 2017

Price history

Weekly median price per GPU per hour

Last 12 months
Aggregating historical prices...

At a glance Updated 8 minutes ago

Cheapest in stock
$0.11 /GPU/hr
on-demand · 2x · Vast.ai
Median price (current)
$0.99 /GPU/hr
on-demand
90-day trend
--
Coverage
21 providers
201 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:

  1. Location: datacenter proximity, blended with provider HQ.
  2. Price: hourly price, per GPU and in total.
  3. Billing type: reserved ahead of spot, spot ahead of quote-only.
  4. Specs: more VRAM, vCPUs and RAM.
  5. 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.
Vast.ai logo

Vast.ai

In stock

United States of America flag USA 33 configs 1x-8x

On-Demand from $0.11 Reserved from $0.15 Spot from $0.08
From $0.11 /GPU/hr On-Demand Visit website
Runcrate logo

Runcrate

In stock

United States of America flag USA 2 configs 1x

On-Demand from $2.57
From $2.57 /GPU/hr On-Demand NVL Visit website
Sesterce logo

Sesterce

In stock

France flag France 9 configs 1x-8x

On-Demand from $2.57
From $2.57 /GPU/hr On-Demand Visit website
GPU.ai logo

GPU.ai

In stock

United Arab Emirates flag UAE 3 configs 1x-4x

On-Demand from $0.12
From $0.12 /GPU/hr On-Demand Visit website
HyperAI logo

HyperAI

In stock

Hong Kong flag Hong Kong 4 configs 1x-8x

On-Demand from $0.14
From $0.14 /GPU/hr On-Demand Visit website
Verda logo

Verda

In stock

Finland flag Finland 28 configs 1x-8x

On-Demand from $0.17 Reserved from $0.13 Spot from $0.09
From $0.09 /GPU/hr Spot Visit website
TensorDock logo

Distributed 1 config 1x

On-Demand from $0.28
From $0.28 /GPU/hr On-Demand SXM Visit website
Geodd logo

United States of America flag USA 3 configs 1x-4x

On-Demand from $0.16
From $0.16 /GPU/hr On-Demand Visit website
Theta EdgeCloud logo

Distributed 2 configs 1x-2x

On-Demand from $0.99
From $0.99 /GPU/hr On-Demand Visit website
Oracle Cloud logo

United States of America flag USA 4 configs 1x-8x

On-Demand from $2.95
From $2.95 /GPU/hr On-Demand Visit website
Paperspace logo

United States of America flag USA 3 configs 1x-4x

On-Demand from $2.30
From $2.30 /GPU/hr On-Demand Visit website
OVHcloud logo

OVH

France flag France 3 configs 1x-4x

On-Demand from $0.77
From $0.77 /GPU/hr On-Demand Visit website
Google Cloud logo

United States of America flag USA 48 configs 1x-8x

On-Demand from $2.53 Reserved from $1.34 Spot from $1.37
From $2.53 /GPU/hr On-Demand Visit website
Amazon Web Services logo

AWS

United States of America flag USA 6 configs 1x-8x

On-Demand from $3.06 Reserved from $1.30
From $3.06 /GPU/hr On-Demand Visit website
Microsoft Azure logo

United States of America flag USA 6 configs 8x

On-Demand from $1.53 Reserved from $1.35 Spot from $0.31
From $1.53 /GPU/hr On-Demand Visit website
Exoscale logo

Switzerland flag Switzerland 4 configs 1x-4x

On-Demand from $0.83
From $0.83 /GPU/hr On-Demand Visit website
Alibaba Cloud logo

Singapore flag Singapore 14 configs 1x-8x

On-Demand from $2.70 Reserved from $1.51
From $2.70 /GPU/hr On-Demand Visit website
Cyfuture AI logo

India flag India 16 configs 1x-8x

On-Demand from $0.55 Reserved from $0.38
From $0.55 /GPU/hr On-Demand Visit website
Database Mart logo

United States of America flag USA 8 configs 1x-3x

Reserved from $0.22
From $0.22 /GPU/hr Reserved (24mo) Visit website
Lambda Labs logo

Lambda Labs

Out of stock

United States of America flag USA 2 configs 8x

On-Demand from $0.79
From $0.79 /GPU/hr On-Demand Visit website

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 V100 run?

One V100 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.

Fits on 1 Single node ≤ 8 Multi-node
Model Memory (INT4 / FP4) V100s needed Cost /hr Cost /mo
Alibaba Cloud logo Qwen3.8-27B 27B
19 GB
1
$0.99
$713
Google Cloud logo Gemma 4 31B 30.7B
24 GB
1
$0.99
$713
OpenAI logo GPT-OSS-120B 117B · 5.1B active
68 GB
3
$2.97
$2,138
Z.AI logo GLM-5.3-Flash 320B · 18B active
178 GB
8
$7.92
$5,702
MiniMax logo MiniMax-M3 428B · 23B active
241 GB
9
DeepSeek logo DeepSeek V4.1 Flash 552B · 16B active
306 GB
11
Moonshot AI logo Kimi K3 2.8T · 104B active
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 V100 · Per GPU

Compute · dense
FP16 / BF16 125 TFLOPS
FP32 15.7 TFLOPS
FP64 7.8 TFLOPS
Precision support FP16FP32FP64INT8
Memory
Capacity 32 GB HBM2
Bandwidth 900 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 300 W
Cooling Passive

Source: official Nvidia V100 datasheet.

Frequently Asked Questions

How much does the V100 cost per hour?

As of September 13, 2026, the median on-demand price is $0.99 per GPU per hour across 17 providers with a priced on-demand config.

Billing typeConfigsMedian /GPU/hrCheapest

On-demand

91

$0.99

$0.11 (in stock, Vast.ai)

Reserved

76

$1.51

$0.15 (1 mo, in stock, Vast.ai)

Spot

34

$0.27

$0.08 (in stock, Vast.ai)

Who has the cheapest V100?

The cheapest verified in-stock on-demand V100 tracked by GetDeploying is $0.11 per GPU per hour from Vast.ai. Cheapest verified in stock on other billing types: reserved $0.15 (1 mo) and spot $0.08, also from Vast.ai.

How much does the V100 cost per month?

At 720 hours per month, one V100 costs an estimated $713 at the median on-demand price. Cheapest verified in stock: $79 per month on-demand, $108 reserved (1 mo), $58 spot.

Where can I rent a V100?

GetDeploying currently tracks V100 configs from 21 providers. The cheapest verified in-stock on-demand configs come from Vast.ai, GPU.ai, HyperAI and Runcrate. See the full price comparison above for every provider and config.

How many V100 GPUs do I need?

One V100 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 V100?

32GB or 16GB HBM2 with 300 GB/s NVLink. Legacy data center GPU with wide availability and low cost. FP64 support makes it useful for scientific computing.

When is the V100 not a good fit?

Volta architecture lacks BF16, TF32, and FP8 support. Significantly slower than Ampere or Hopper for AI workloads. Only consider if budget is the primary constraint.

Alternatives to Nvidia V100

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