Tesla V100 PCIe 32GB

Data Center

Engineered for data center environments, this GPU leverages HBM2 memory alongside tensor cores to excel in AI inference and training operations.

Key Specifications

VRAM 32 GB HBM2

Memory Bus 4,096-bit

FP16 125 TFLOPS

FP32 15.7 TFLOPS

TDP 250 W

Best Use Cases

Neural Network Training

By providing exceptional memory bandwidth and robust parallel processing, this hardware significantly speeds up the training process for extensive neural network architectures.

Inference Workloads

Within data center settings, this unit ensures rapid response times for real-time AI applications, ensuring efficient inference delivery.

Scientific Computing

Ideal for demanding high-performance computing roles, this GPU supplies the necessary compute power and memory capacity for intricate scientific simulations.