Micron Technology, Inc. MT4JTF12864AZ-1G4D1 1GB DDR3 1333 Desktop RAM
- 1GB
- DDR3 1333 (PC3 1060…
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NVIDIA
A data-centre accelerator with 32 GB HBM2 memory and a passive cooler for AI and HPC workloads
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.
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.
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.
| Brand | NVIDIA |
|---|---|
| Series | TESLA V100S 32GB |
| Model | TESLA V100S 32GB |
| Chipset Manufacturer | NVIDIA |
| GPU | V100S |
| Memory Size | 32GB |
| Memory Type | HBM2 |
| OpenGL | OpenCL |
| Form Factor | SXM2 |
Yes, the card uses a PCI-Express 3.0 x16 interface, so it will operate in any slot that provides that link width and generation.
Check the NVIDIA driver control panel or run nvidia-smi; it should show the V100S GPU with 32 GB of HBM2 memory and list CUDA and OpenCL as supported APIs.
The card uses a passive cooler and the SXM2 form factor, so it relies on the server chassis for cooling and mounting; cables and brackets are not included and must be sourced for your specific platform.
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