ScalewayNo stock data
1× P10016 GB VRAM
France · 10 vCPU · 42 GB RAM · 2 Gbit/s · Dynamic local: 1 x SSD, Block
Details
Stock and price checked 7 min ago.
RENDER-S
Full price
€1.22
per hour, whole instance, 1 GPU
NVIDIA · Pascal
Rent P100
NVIDIA Tesla P100, 16 GB.HPCgeneral ml
Full price from
—
in stock, per GPU-hour
Spot from
—
in stock, per GPU-hour
Offers in stock
0 of 2
full price or spot
Providers in stock
0 of 1
full price or spot
Offers (3)
View offer
ScalewayNo stock data
1× P10016 GB VRAM
France · 10 vCPU · 42 GB RAM · 2 Gbit/s · Dynamic local: 1 x SSD, Block
Details
Stock and price checked 7 min ago.
RENDER-S
Full price
€1.22
per hour, whole instance, 1 GPU
Full price
from €1.22
per GPU, per hour
Price and availability history
Price per GPU-hour
Excluding VAT.
Providers with stock
Each provider counts once. Full price and spot are separate.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Share of offers in stock
Full price. Offers we can't say are really sold there are left out until they've been in stock once.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Units free
No provider reports a number for this GPU.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Stock by provider
In stock, yes or no, for every provider selling this GPU. A filled band means in stock: green at full price, orange as spot.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Using several together
Can't be linked. This GPU has no NVLink, so several in one server only talk over PCIe. Each card keeps its own 16 GB. That suits running a separate job on each card. Splitting one model across them works, but slowly.
Specifications
Headline values are PCIe 16GB (PCIe Gen3, no NVLink). SXM2 adds NVLink with FP32 10.6 and FP64 5.3 TFLOPS. PCIe 12GB runs at 549 GB/s. memoryDataRateGbps is derived for the PCIe 16GB (732 GB/s x 8 / 4096 bits).
Memory
- VRAM
- 16 GB
- Memory type
- HBM2
- Memory bandwidthHow fast the GPU reaches its memory. Often limits LLM speed
- 732 GB/s
- Bus width
- 4,096 bit
- ECC memoryDetects and corrects memory errors
- Yes
Compute
- FP64Speed at 64-bit precision, used for scientific simulation
- 4.7 TFLOPS
- FP32Speed at 32-bit precision
- 9.3 TFLOPS
- FP16Speed at 16-bit precision
- 18.7 TFLOPS
- FP8 support
- No
- FP4 support
- No
- Transformer EngineHardware that speeds up FP8 and FP4
- No
- Compute cores
- 3,584
Multi-GPU and connectivity
- NVSwitchLets every GPU in a server talk to every other at full speed
- No
- PCIe generation
- 3
Sharing and security
- MIG partitioningSplits one GPU into several isolated smaller GPUs
- No
- Max MIG instances
- 0
- vGPU
- Yes
- Confidential computing
- No
Hardware
- Architecture
- Pascal
- Launch year
- 2016
- Process node
- TSMC 16nm FinFET
- Transistors
- 15.3 billion
- Die size
- 610 mm²
- Power (TDP)Maximum power draw
- 250 W
- Cooling
- passive
Video
- NVENC engines
- 3
- NVDEC engines
- 1
- AV1 encode
- No
- AV1 decode
- No
Sources (38)
- https://images.nvidia.com/content/tesla/pdf/nvidia-tesla-p100-PCIe-datasheet.pdf
- https://images.nvidia.com/content/tesla/pdf/nvidia-tesla-p100-datasheet.pdf
- https://nvidianews.nvidia.com/news/nvidia-delivers-massive-performance-leap-for-deep-learning-hpc-applications-with-nvidia-tesla-p100-accelerators
- https://docs.nvidia.com/datacenter/tesla/mig-user-guide/supported-gpus.html
- https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/
- https://docs.nvidia.com/590trd1-trusted-computing-solutions-release-notes.pdf
- https://images.nvidia.com/content/pdf/tesla/whitepaper/pascal-architecture-whitepaper.pdf
- https://images.nvidia.com/aem-dam/en-zz/Solutions/data-center/nvidia-ampere-architecture-whitepaper.pdf
- https://developer.nvidia.com/blog/nvidia-hopper-architecture-in-depth/
- https://developer.nvidia.com/blog/inside-nvidia-blackwell-ultra-the-chip-powering-the-ai-factory-era/
- https://developer.nvidia.com/video-encode-decode-support-matrix
- https://docs.nvidia.com/vgpu/gpus-supported-by-vgpu.html