Datacenter · Pascal · launched 2016 · prices checked 2026-09-03
Rent NVIDIA Tesla P100 — 16 GB, $0.066/hr on-demand
- VRAM 16 GBHBM2
- FP16 tensor 19TFLOPS
- PowerScore 13RTX 3090 = 100
- Configs 1–8×PCIe 3.0
- Online now 16 3 regions
Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-09-10.
Datacenter · Pascal architecture
A server-class card built for sustained 24/7 load: passive cooling in proper chassis, ECC memory, and drivers validated for compute. The sweet spot for inference fleets and fine-tuning jobs that need stability more than headline FLOPS.
NVIDIA Tesla P100 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA Tesla P100 | Architecture | Pascal (2016) |
|---|---|---|---|
| VRAM | 16 GB HBM2 | Memory bandwidth | 732 GB/s |
| FP16 tensor perf. | 19 TFLOPS | FP32 perf. | 9.3 TFLOPS |
| CUDA cores | 3,584 | TDP | 250 W |
| PowerScore (RTX 3090 = 100) | 13 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 8× | Max instance storage | 4,000 GB NVMe |
| Network up to | 1,000 Mbps | CUDA | 12.4 – 13.0 |
Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.
Tesla P100 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the Tesla P100 ($0.09/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.066, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.
| Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get |
|---|---|---|---|---|
| On-demand | $0.066 | $1.58 | $48 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.033 | $0.79 | $24 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.042 | $1.01 | $31 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a Tesla P100 (16 GB VRAM)
With 16 GB of HBM2, a single card holds a ~3B-parameter LLM in FP16 or up to ~24B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.066.
- One-click template: vLLM on a Tesla P100
- One-click template: PyTorch on a Tesla P100
- One-click template: ComfyUI on a Tesla P100
- Sizing help: LLM VRAM requirements guide
Tesla P100 availability by region
16 × Tesla P100 across 3 machines, live from inventory:
Stockholm
London
Frankfurt
Tesla P100 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| Tesla P100 this card | 16 GB | 19 | $0.066 | $3.47‰ |
| Tesla P40 | 24 GB | 12 | $0.056 | $4.67‰ |
| Tesla V100 | 16 GB | 125 | $0.089 | $0.71‰ |
| Tesla T4 | 16 GB | 65 | $0.104 | $1.60‰ |
| Tesla P4 | 8 GB | 6 | $0.018 | $3.00‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a Tesla P100: frequently asked questions
How much does it cost to rent an NVIDIA Tesla P100 per hour?
$0.066 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.09. Interruptible capacity costs $0.033/hr and a 3-month reservation $0.042/hr. Around $48/month if you keep one running non-stop, billed per second.
What can a Tesla P100 with 16 GB VRAM run?
In LLM terms, roughly a 3B-parameter model in FP16 or up to ~24B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the Tesla P100 available to rent right now?
Yes — 16 GPUs across 3 machines in 3 regions are listed as we render this page. Configurations go from 1× to 8×. Deploy from the console and it is running in about 30 seconds.
How do I deploy a Tesla P100?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by Tesla P100, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu tesla-p100 --template pytorch.
Why is the Tesla P100 cheaper here than on GPU marketplaces?
We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-10) and published — no auctions, no per-host roulette, no bidding.