Micron Technology, Inc. MT4JTF12864AZ-1G4D1 1GB DDR3 1333 Desktop RAM
- 1GB
- DDR3 1333 (PC3 1060…
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NVIDIA
A GPU for machine learning with 3072 CUDA cores, GDDR5 memory on a 384-bit bus and a 1140 MHz boost clock
The NVIDIA Tesla M40 is a compute-focused graphics card built for machine learning tasks. It delivers 3072 CUDA cores and a boost clock of 1140 MHz. The board connects via PCI Express 3.0 x16 and uses GDDR5 memory on a 384-bit interface clocked at 6 GHz.
This card suits engineers running inference or smaller model development on a single GPU. The memory capacity fits many classification and language models. Teams needing multi-GPU training throughput or larger model support should look at higher-capacity accelerators.
The 3072 CUDA cores set the parallel compute ceiling for every workload on this card. If your kernels saturate this core count the M40 will perform well. If you need substantially more concurrent threads a different accelerator is required.
| Memory Type | GDDR5 |
|---|
The card has 3072 CUDA cores running at a boost clock of ~1140 MHz for high-throughput workloads.
Memory runs at 6 GHz on a 384-bit bus, giving ample bandwidth for large-model inference.
A PCIe 3.0 x16 slot provides the full 16-lane link the board is designed for.
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