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NVIDIA Tesla V100 32GB

32 GB VRAM125 FP16 TFLOPS300 W TDP3 providers9 offerings1 regions

The NVIDIA Tesla V100 32GB is an enterprise-class GPU built on the Volta architecture, featuring 32 GB of memory with 900 GB/s of memory bandwidth and a 300 W TDP. It delivers 15.7 TFLOPS of FP32 performance and 125 TFLOPS of FP16 tensor performance. Currently available from 3 providers starting at $2.46/GPU/hour, with a market median of $2.57/GPU/hour across 9 configurations.

Cheapest
$2.458/hr
Omega Gradient
Median
$2.570/hr
across 9 offerings
Most expensive
$2.574/hr
Sesterce Cloud
90-day trend
0.0%
median rate

Hardware specifications

Same across all providers

FP16 performance
125 TFLOPS
peak
TDP
300 W
Memory bandwidth
900 GB/s
Architecture
Volta
FP32 performance
15.7 TFLOPS
Brand
NVIDIA
Series
Tesla V100
Market price history

Median price across all providers

Prices updated 6 minutes ago

4 offerings from 3 providers

Sorted by price ascending. Compare configurations side-by-side.

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
×11648 GB--
$0.160
-27.3% 30d
From$0.16
×432120 GB
United States
From$2.458
-0.1% 30d
From$9.83
Launch
×1830 GB
United States
$2.570
From$2.57
Launch
Sesterce Cloud logoSesterce CloudReferral link
×1830 GB
United States
$2.574
From$2.57
Launch

LLMs that fit on the NVIDIA Tesla V100 32GB

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 32 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Too large
155 GB
Too large
90 GB
4× · 38 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
4× · 50 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
4× · 42 GB free
47 GB
2× · 17 GB free
28 GB
1× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
4× · 49 GB free
43 GB
2× · 21 GB free
25 GB
1× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
4× · 53 GB free
or 2× · 2% spare
41 GB
2× · 23 GB free
24 GB
1× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
4× · 53 GB free
or 2× · 2% spare
41 GB
2× · 23 GB free
24 GB
1× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
4× · 61 GB free
or 2× · 15% spare
37 GB
2× · 27 GB free
or 1× · 4% spare
21 GB
1× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
2× · 6.4 GB free
32 GB
Barely fits on 1×
18 GB
1× · 14 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
1× · 15 GB free
Gemma 3 12B
Google
12.2B
29 GB
1× · 2.8 GB free
16 GB
1× · 16 GB free
9.4 GB
1× · 23 GB free
Granite 4.1 8B
IBM
8.8B
21 GB
1× · 11 GB free
12 GB
1× · 20 GB free
6.8 GB
1× · 25 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
1× · 12 GB free
11 GB
1× · 21 GB free
6.3 GB
1× · 26 GB free

Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead

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Frequently asked questions

How much does the Tesla V100 32GB cost per hour?
The Tesla V100 32GB starts at $2.46 per GPU-hour, with a median of $2.57 across 9 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the Tesla V100 32GB?
4 providers currently list the Tesla V100 32GB: Omega Gradient, Sesterce Cloud, Runcrate, Geodd. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the Tesla V100 32GB have?
The Tesla V100 32GB comes with 32 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Which LLMs can I run on the Tesla V100 32GB?
With 32 GB of VRAM, a single Tesla V100 32GB can serve models such as Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B, GLM-4.7 Flash. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.
What's the biggest LLM I can run on multiple Tesla V100 32GB GPUs?
The largest models we track that fit across several Tesla V100 32GB cards are Laguna-S 2.1 on 4 GPUs at 4-bit, gpt-oss-120b on 4 GPUs at 4-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.
Where is the Tesla V100 32GB cheapest?
The lowest on-demand price we currently track for the Tesla V100 32GB is $2.46 per GPU-hour at Omega Gradient. Because providers update pricing and availability frequently, check the live table above before you launch.