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Tesla V100 SXM2 32GB

Data Center

A Volta-architecture data center GPU featuring 32 GB HBM2 and Tensor Cores, tailored 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

Deep Learning Model Training

Efficiently train neural networks using 32 GB HBM2 and Tensor Cores.

Scientific Computing Applications

Accelerate molecular dynamics, genomics, and physics simulation workloads.

Production Inference Serving

Deploy high-throughput inference pipelines in live environments.