Legacy Pascal data center GPU for budget scientific computing.
Weekly median price per GPU per hour · Get the data
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
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:
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.
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.
One P100 has 16 GB of VRAM. In practice, that's enough memory for roughly 8B parameters at 4-bit or 2B 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) | P100s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
19 GB
|
2
|
$2.78
|
$2,002
|
Gemma 4 31B
30.7B
|
24 GB
|
2
|
$2.78
|
$2,002
|
GPT-OSS-120B
117B · 5.1B active
|
68 GB
|
5
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
13
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
241 GB
|
17
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
22
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,545 GB
|
108
|
–
|
–
|
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. Pricing methodology.
Nvidia P100 · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 18.7 TFLOPS |
| FP32 | 9.3 TFLOPS |
| FP64 | 4.7 TFLOPS |
| Precision support | FP16FP32FP64 |
| Memory | |
|---|---|
| Capacity | 16 GB HBM2 |
| Bandwidth | 732 GB/s |
| Bus width | 4,096-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Pascal |
| Process | TSMC 16nm FinFET |
| Transistors | 15.3 billion |
| Shader cores | 3,584 CUDA cores |
| Compute units | 56 SMs |
| Fabric and host | |
|---|---|
| GPU interconnect | NVLink 160 GB/s |
| Host interface | PCIe 3.0 |
| Power | |
|---|---|
| Board power | 250 W |
| Cooling | Passive |
Source: official Nvidia P100 datasheet.
As of October 1, 2026, the median on-demand price is $1.39 per GPU per hour across 5 providers.
| Billing type | Configs | Median /GPU/hr | Cheapest |
|---|---|---|---|
On-demand | 19 | $1.39 | $0.08 (in stock, Vast.ai) |
Reserved | 28 | $1.04 | $0.22 (24 mo) |
Spot | 10 | $0.07 (in stock, Vast.ai) |
No median for spot: we only show this when at least 3 providers list the GPU on that billing type.
At 720 hours per month, one P100 costs an estimated $1,001 at the median on-demand price. Cheapest verified in stock: $58 per month on-demand, $50 spot.
GetDeploying currently tracks P100 configs from 6 providers. Vast.ai and Scaleway have verified in-stock on-demand configs. See the full price comparison above for every provider and config.
As of October 1, 2026, the median on-demand price has been flat over the past 90 days, at about $1.39 per GPU per hour, though it is about 22% above where it was a year ago.
One P100 runs models up to roughly 8B parameters at 4-bit quantization or 2B 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.
16GB HBM2 with FP16 and FP64 support. Very low cost per hour. Useful for legacy workloads, scientific computing, and basic GPU development.
Pascal architecture, 3+ generations behind. No Tensor Cores, no BF16, no INT8. Only viable for legacy FP32/FP64 scientific workloads or basic GPU development.
Nvidia A100
80 GB HBM2e · 2.6x the bandwidth of the P100
Nvidia V100
32 GB HBM2 · 23% more bandwidth than the P100
Nvidia T4
16 GB GDDR6 · 59% less bandwidth than the P100
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