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Tesla V100 SXM2 32GB

Data Center

A Volta-architecture data center GPU featuring 32 GB of HBM2 memory and Tensor Cores, built to power 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

Accelerate neural network training with Tensor Cores and 32 GB of HBM2 memory.

Scientific Computing Workloads

Fast-track simulations in molecular dynamics, genomics, and physics.

Production Inference Serving

Roll out high-throughput inference pipelines for real-world deployments.