NVIDIA Tesla V100

5,120

CUDA Cores

32GB

VRAM

900

GB/s

Data Center
Updated April 21, 2026 • 2026 Edition
Tesla V100 GPU Specifications

Technical Specifications

5,120

CUDA Cores

1245

Base MHz

1455

Boost MHz

32GB HBM2

4096-bit bus

Performance

14

FP32 TFLOPS

112

FP16 TFLOPS

300W

TDP

Cloud Availability

2

Available Instances

$0.18/hr

Starting Price

Detailed Specifications

Architecture Volta (Unknown)
Release Date 2017-06-20
Launch Price $10,000.00
Process 12nm
Transistors 21.1B

AI Features

Gen 1

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

Physical Specifications

Dimensions

10.5in

Length

4.4in

Width

2-slot

Height

About Tesla V100 GPU

The NVIDIA Tesla V100 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 32GB of VRAM and 5,120 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2017, the Tesla V100 features Volta 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 V100, pricing starts at $0.18/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 900 GB/s enabling fast data transfer for large datasets.

The Tesla V100 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 12nm manufacturing process ensures efficient power consumption relative to performance output.

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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.