EN-Labs 11-001-366 PCIe x4 USB 3.2 10Gbps 5-port card
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- 12CM Case fan,screw…
NVIDIA
Data-centre GPU with 32 GB HBM2 memory and Volta architecture for AI, HPC and graphics workloads
The NVIDIA Tesla V100 32 GB HBM2 is a data-center GPU built on the Volta architecture for AI training, high-performance computing and professional graphics workloads. Its SXM2 form factor targets server platforms that support this mounting standard. The card delivers 32 GB of high-bandwidth memory to handle large models and datasets.
A passive cooler means the card relies on the host system's airflow, so deployment requires a compatible server chassis with directed cooling. The SXM2 connector provides a high-speed link to the motherboard without traditional PCIe brackets or external power cables. This design suits dense multi-GPU configurations in qualified OEM systems.
The 32 GB capacity lets you train models or run simulations that exceed the memory limits of lower-capacity HBM2 variants. Moving to this accelerator is worthwhile when workload size demands the larger frame buffer and the platform already supports SXM2 power and cooling infrastructure.
| Brand | NVIDIA |
|---|---|
| Series | TESLA V100 32GB |
| Model | TESLA V100 32GB |
| Chipset Manufacturer | NVIDIA |
| GPU | V100 |
| Memory Type | HBM2 |
| OpenGL | OpenCL |
| Form Factor | SXM2 |
The card uses the SXM2 form factor which requires a compatible server motherboard socket and cannot be installed in a standard PCIe slot.
The card ships with a passive cooler so it relies on high‑volume forced airflow from the server chassis; no fan is included.
The accelerator supports CUDA, OpenCL, OpenACC and DirectCompute for AI, HPC and graphics workloads.
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