NEMIX RAM 64GB DDR4 3200 4Rx4 1.2V 288-PIN ECC LRDIMM server RAM
- DDR4 3200 (PC4 2560…
- 22
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NVIDIA
Dual Kepler GK104 GPUs with 8 GB GDDR5 and 320 GB/s bandwidth deliver 4.58 TFLOPS single-precision throughput for scientific compute
The NVIDIA Tesla K10 is a dual-GPU accelerator built on the Kepler architecture with two GK104 processors. It provides 8GB of GDDR5 memory and a PCIe x16 interface in a dual-slot, full-height form factor. The board delivers 4.58 teraflops of peak single-precision performance and 320 GB/sec of aggregate memory bandwidth.
This card suits users running scientific models, seismic processing, signal analysis, image processing or video analytics that benefit from high single-precision throughput. It is not for workloads that require double-precision performance, ECC memory or display outputs. Buyers needing modern graphics APIs or higher memory capacity per GPU should consider other options.
The single specification that decides fit is the 8GB aggregate GDDR5 memory split across two GPUs, giving 4GB per GK104. Each GPU offers 1536 CUDA cores and 320 GB/sec total bandwidth. If your dataset exceeds 4GB per GPU or demands double-precision math, this accelerator will not meet the requirement.
| Memory Type | GDDR5 |
|---|
The card uses a dual-slot full-height form factor and connects via a PCIe x16 bus interface, so it requires a full-height case slot and a motherboard with an available x16 lane.
Insert the card firmly into the PCIe x16 slot until the retention bracket clicks, then connect the required auxiliary power cables from the PSU to each GPU power connector on the board.
Reapply thermal compound on both GK104 GPUs if temperatures rise under load or after several years of continuous operation in a workstation environment.
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