NVIDIA Tesla P100

3,584

CUDA Cores

16GB

VRAM

732

GB/s

Data Center
Updated April 21, 2026 • 2026 Edition
Tesla P100 GPU Specifications

Technical Specifications

3,584

CUDA Cores

1190

Base MHz

1328

Boost MHz

16GB HBM2

4096-bit bus

Performance

9.3

FP32 TFLOPS

18.7

FP16 TFLOPS

250W

TDP

Cloud Availability

0

Available Instances

$0.00/hr

Starting Price

Detailed Specifications

Architecture Pascal (Unknown)
Release Date 2016-06-20
Launch Price $10,000.00
Process 16nm
Transistors 15.3B

AI Features

none

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

Physical Specifications

Dimensions

10.5in

Length

4.4in

Width

2-slot

Height

About Tesla P100 GPU

The NVIDIA Tesla P100 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 16GB of VRAM and 3,584 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2016, the Tesla P100 features Pascal architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.

When considering cloud rental options for the Tesla P100, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 732 GB/s enabling fast data transfer for large datasets.

The Tesla P100 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 16nm manufacturing process ensures efficient power consumption relative to performance output.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

Top GPUs for Training and Inference

Category Rank 1 Rank 2 Rank 3
Best for Training NVIDIA H200 NVIDIA H100 NVIDIA B200
Best for Inference NVIDIA A40 NVIDIA A100 NVIDIA A10

Compare GPU specifications and cloud instances to find the best GPU for your workload.