Tesla V100 SXM2 32GB
Data CenterA data center GPU from the Volta architecture, equipped with 32 GB of HBM2 memory and Tensor Cores, designed for AI training and inference workloads.
Key Specifications
VRAM
32 GB HBM2
Memory Bus
4,096-bit
FP16
31.3 TFLOPS
FP32
15.7 TFLOPS
TDP
250 W
Best Use Cases
Deep Learning Training
Leverage Tensor Cores and 32 GB of HBM2 memory to train neural networks efficiently.
Scientific Computing
Speed up simulations in molecular dynamics, genomics, and physics.
Inference Serving
Deploy high-throughput inference pipelines for production use.