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| Processor | |
| Processor frequency | 745 MHz |
| Graphics processor | Tesla K40 |
| Parallel processing technology support | Not supported |
| CUDA |  |
| CUDA cores | 2880 |
| Graphics processor family | NVIDIA |
| FireStream |  |
| Memory | |
| Graphics card memory type | GDDR5 |
| Memory bus | 384 bit |
| Memory clock speed | 3000 MHz |
| Memory bandwidth (max) | 288 GB/s |
| Discrete graphics card memory | 12 GB |
| System requirements | |
| Windows operating systems supported | Windows 7 Home Basic x64,Windows 7 Home Premium x64,Windows 7 Professional x64,Windows 7 Starter x64,Windows 7 Ultimate x64,Windows Vista Business,Windows Vista Business x64,Windows Vista Enterprise,Windows Vista Enterprise x64,Windows Vista Home Basic,Windows Vista Home Basic x64,Windows Vista Home Premium,Windows Vista Home Premium x64,Windows Vista Ultimate,Windows Vista Ultimate x64 |
| Linux operating systems supported | Fedora 12,SuSE Linux 11,Ubuntu 9.10 |
| Ports & interfaces | |
| Interface type | PCI Express x16 |
| Weight & dimensions | |
| Height | 110 mm |
| Energy management | |
| Power consumption (typical) | 235 W |
| Energy Star certified | |
| Supplementary power connectors | 1x 6-pin, 1x 8-pin |
| Design | |
| Number of slots | 2 |
| Cooling type | Passive |
| Graphics | |
| Discrete graphics card memory | 12 GB |
| Performance | |
| TV tuner integrated | |
| Dual Link DVI | |
| PhysX | |
| EAN | 3536403343170 |
| Warranty | 2 years |
Run your most demanding scientific models on NVIDIA® Tesla® GPU Accelerators. Based on the NVIDIA Kepler™, Tesla GPUs are designed to deliver faster, more efficient compute performance.
With the introduction of Tesla K40 GPU Accelerators, you can run big scientific models on its 12GB of GPU accelerator memory, capable of processing 2x larger datasets and ideal for big data analytics. It also outperforms CPUs by up to 10x with its GPUBoost feature, converting power headroom into user-controlled performance boost.
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