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NVIDIA Tesla P100

16 GB VRAM18.7 FP16 TFLOPS250 W TDP1 providers2 offerings2 regions

The NVIDIA Tesla P100 is an enterprise-class GPU built on the Pascal architecture, featuring 16 GB of memory with 732 GB/s of memory bandwidth and a 250 W TDP. It delivers 9.3 TFLOPS of FP32 performance and 18.7 TFLOPS of FP16 tensor performance. Currently available from 1 provider starting at $0.07/GPU/hour, with a market median of $0.08/GPU/hour across 2 configurations.

Cheapest
$0.070/hr
Vast.ai
Median
$0.080/hr
across 2 offerings
Most expensive
$0.090/hr
Vast.ai
90-day trend
-42.9%
median rate

Hardware specifications

Same across all providers

FP16 performance
18.7 TFLOPS
peak
TDP
250 W
Memory bandwidth
732 GB/s
Architecture
Pascal
FP32 performance
9.3 TFLOPS
Brand
NVIDIA
Series
Tesla
Market price history

Median price across all providers

Prices updated 17 minutes ago

1 offering from 1 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Vast.ai logoVast.aiReferral linkTrendingCheapest
×14831 GB
ChinaCanada
From$0.070
+14.3% 30d
From$0.07
Launch

LLMs that fit on the NVIDIA Tesla P100

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

ModelParameters16-bit8-bit4-bit
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
Too large
47 GB
Too large
28 GB
2× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
Too large
43 GB
Too large
25 GB
2× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
Too large
41 GB
Too large
24 GB
2× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
Too large
41 GB
Too large
24 GB
2× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
Too large
37 GB
Tight on 2× · 4% spare
21 GB
2× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
Too large
32 GB
Barely fits on 2×
18 GB
2× · 14 GB free
or 1× · 4% spare
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
2× · 15 GB free
or 1× · 16% spare
Gemma 3 12B
Google
12.2B
29 GB
2× · 2.8 GB free
16 GB
2× · 16 GB free
or 1× · 19% spare
9.4 GB
1× · 6.6 GB free
Granite 4.1 8B
IBM
8.8B
21 GB
2× · 11 GB free
12 GB
1× · 4.4 GB free
6.8 GB
1× · 9.2 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
2× · 12 GB free
11 GB
1× · 5.2 GB free
6.3 GB
1× · 9.7 GB free
Llama 3.1 8B Instruct
Meta
8B
19 GB
2× · 13 GB free
11 GB
1× · 5.4 GB free
6.2 GB
1× · 9.8 GB free
Mistral 7B Instruct v0.3
Mistral AI
7.2B
17 GB
2× · 15 GB free
or 1× · 10% spare
9.6 GB
1× · 6.4 GB free
5.6 GB
1× · 10 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

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Frequently asked questions

How much does the Tesla P100 cost per hour?
The Tesla P100 starts at $0.07 per GPU-hour, with a median of $0.08 across 2 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the Tesla P100?
1 providers currently list the Tesla P100: Vast.ai. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the Tesla P100 have?
The Tesla P100 comes with 16 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 P100?
With 16 GB of VRAM, a single Tesla P100 can serve models such as Gemma 3 12B, Granite 4.1 8B, Qwen3 8B, Llama 3.1 8B Instruct. 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 P100 GPUs?
The largest models we track that fit across several Tesla P100 cards are Qwen3.6 35B-A3B on 2 GPUs at 4-bit, Qwen3 32B on 2 GPUs at 4-bit, Gemma 4 31B on 2 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 P100 cheapest?
The lowest on-demand price we currently track for the Tesla P100 is $0.07 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.