NEMIX RAM 64GB DDR4 3200 4Rx4 1.2V 288-PIN ECC LRDIMM server RAM
- DDR4 3200 (PC4 2560…
- 22
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NVIDIA
Accelerator card with 12 GB GDDR5 memory, 3,072 CUDA cores and 288 GB/s bandwidth for compute workloads
The NVIDIA Tesla M40 is a workstation graphics card built for compute acceleration. It delivers 3072 CUDA cores and 12 GB of GDDR5 memory across a 384-bit interface. The board connects through a PCI Express 3.0 x16 slot and draws up to 250 W via a PCIe plus 8-pin CPU power connector. A passive heat sink handles thermal dissipation in a dual-slot form factor.
This card suits users running CUDA, DirectCompute or OpenCL workloads that benefit from 7 TFLOPS of single-precision performance and 288 GB/s memory bandwidth. It also supports Shader Model 5.0, OpenGL 4.6 and DirectX 12 for compatible applications. Buyers who need active cooling, display outputs or a lower power envelope should consider other options. The passive design requires adequate chassis airflow.
The 12 GB frame buffer provides headroom for large datasets and model parameters that exceed smaller buffers. Workloads fitting within this capacity and the 384-bit bandwidth run comfortably at the rated throughput. Tasks demanding more than 12 GB of device memory or higher single-precision throughput will exceed the card's limits. The 250 W power draw also sets a firm boundary for system power budgeting.
| Memory Type | GDDR5 |
|---|
The card draws up to 250 W and needs both a PCIe slot supply and an 8-pin CPU power connector; confirm your power supply provides that connector before installing.
The M40 uses a passive heat sink and relies on strong front-to-back case airflow; verify your server delivers high-volume directed air across the dual-slot 4.40” H x 10.50” L form factor.
Run nvidia-smi or the NVIDIA Control Panel; both should report 3072 CUDA cores, 12 GB GDDR5 memory and a PCI Express 3.0 x16 link at full width.
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