SK hynix HMA82GR7CJR8N-XN 16GB DDR4-3200 CL22 ECC Registered Dual Rank server RAM
- 16GB
- 288-Pin DDR4 SDRAM
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NVIDIA
16 GB HBM2 accelerator card for AI training and inference via PCI Express 3.0
The NVIDIA Tesla V100 is a 16GB workstation graphics card built on the Tesla V100 GPU. It connects via PCI Express 3.0 and uses HBM2 memory to deliver high bandwidth for data-intensive tasks. The full-length, full-height plug-in card weighs 3 lbs and is supplied in a brown box. It targets researchers and engineers running AI training, inference or scientific simulations.
This card fits users who need one accelerator with 16GB of fast memory for model development or HPC jobs. Buyers who want more memory per GPU, multi-GPU scaling via NVLink, or certified drivers for professional visualisation applications should look at other products. The PCI Express 3.0 interface also limits peer-to-peer bandwidth compared with newer interconnects.
The 16GB HBM2 frame buffer is the specification that determines whether this accelerator can hold your working dataset. Models or datasets larger than 16GB will not fit in GPU memory and will require a card with greater capacity or a multi-GPU approach. Capacity is fixed and cannot be expanded.
| Brand | NVIDIA |
|---|---|
| Model | Tesla V100 16GB |
| Interface | PCI Express 3.0 |
| Chipset Manufacturer | NVIDIA |
| GPU | Tesla V100 |
| Memory Size | 16GB |
| Memory Type | HBM2 |
The Tesla V100 is a full-height, full-length accelerator rated for sustained compute; plan on strong case airflow or rack cooling to handle the thermal output of a 16 GB HBM2 PCIe 3.0 card running all day.
It requires a full-size PCIe 3.0 x16 slot and the standard auxiliary power cables your workstation PSU provides for a full-height, full-length add-in card.
No — the card is full-length and full-height, so the chassis must accept a full-size plug-in card; older half-length bays will not fit it.
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