NVIDIA V100S 32GB HBM2 graphics card

32 GB HBM2 accelerator for AI and HPC

The NVIDIA V100S 32 GB HBM2 card targets data-centre workloads that demand large memory capacity and high bandwidth. It is built for AI training, high-performance computing and graphics acceleration on the Volta architecture. The SXM2 form factor integrates directly into compatible server boards. CUDA, OpenCL, OpenACC and DirectCompute APIs are supported.

32 GB capacity with HBM2 bandwidth

The 32 GB HBM2 memory pool holds large models and datasets without spilling to system memory. High bandwidth keeps compute units fed during dense matrix work and simulation kernels. When models exceed the 32 GB limit, multi-GPU scaling or model parallelism becomes necessary. PCI-Express 3.0 x16 links the card to the host for data transfers.

Passive SXM2 module for dense servers

A passive cooler relies on chassis airflow, eliminating fan noise and moving parts in rack environments. The SXM2 connector provides mechanical retention and high-speed signalling in a compact footprint. This design suits dense GPU nodes where space and power density are constrained. Installation follows the server vendor’s qualified thermal solution.