Tesla V100 SXM2 32GB
Data CenterVolta-architecture data center GPU equipped with 32 GB HBM2 and Tensor Cores, purpose-built 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
Efficiently train neural networks using Tensor Cores and the 32 GB HBM2 memory buffer.
Scientific Computing
Speed up molecular dynamics, genomics, and physics simulations.
Inference Serving
Deploy high-throughput inference pipelines ready for production.