NEMIX RAM DDR5-5600 2TB (16x128GB) ECC RDIMM CL46 1.1V Supermicro H14SST-G memory upgrade
- 2TB (16 x 128GB)
- 288-Pin DDR5 RDIMM
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NVIDIA
Data-center GPU accelerator with 32 GB HBM2 memory and SXM2 form factor for AI and HPC workloads
The NVIDIA Tesla V100 SXM2 is a GPU accelerator built for data-centre workloads such as AI training, high-performance computing and professional graphics. It delivers the compute equivalent of up to 100 CPUs in a single device. Researchers, data scientists and engineers use it to tackle problems that were previously impractical. The card carries 32 GB of HBM2 memory.
This module uses the SXM2 form factor and a passive cooler, so it cannot be installed in a standard PCIe slot or a typical desktop chassis. It requires a server motherboard with a matching SXM2 socket and a system-level airflow solution that can dissipate the thermal load without an onboard fan. The interface also limits deployment to platforms designed for this specific mezzanine standard.
Verify that your server motherboard provides an SXM2 socket and that the chassis cooling design supports passive modules of this thermal profile. Confirm the power delivery subsystem can meet the GPU's requirements. Ensure the operating system and software stack support OpenACC, OpenCL and DirectCompute APIs for the intended workloads.
| Brand | NVIDIA |
|---|---|
| Chipset Manufacturer | NVIDIA |
| GPU | V100 |
| Memory Type | HBM2 |
| OpenGL | OpenCL |
| Form Factor | SXM2 |
The only capacity listed is 32 GB of HBM2 memory; there are no other versions shown in the product data.
It indicates the V100 can deliver throughput equivalent to up to 100 CPUs for AI and HPC workloads, though actual gains depend on the application and system configuration.
SXM2 requires a compatible motherboard socket and passive cooling infrastructure; it cannot be used in standard PCIe slots or workstations without that support.
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