Tesla V100 SXM2 32GB
Data CenterA Volta-generation data center GPU equipped with 32 GB of HBM2 and Tensor Cores, designed for AI training and inference.
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
Training Deep Learning Models
Utilize Tensor Cores and 32 GB of HBM2 memory to train neural networks.
Scientific Computing
Speed up molecular dynamics, genomics, and physics simulation workloads.
Inference Serving
Deploy high-throughput inference pipelines for production services.