8,120.21 $
The NVIDIA Tesla K40 modules are all general-purpose, optimized for both double-precision algorithms, with 12 GB of onboard memory.
in stock
| NVIDIA Tesla K40 – GPU computing processor – 1 GPUs – Tesla K40 – 12 GB | |
|---|---|
| Device Type | GPU computing processor |
| Bus Type | PCI Express 3.0 x16 |
| Graphics Engine | 1 GPUs – NVIDIA Tesla K40 |
| Memory | 12 GB GDDR5 |
| Core Clock | 745 MHz |
| Boost Clock | 875 MHz |
| CUDA Cores | 2880 |
| Effective Memory Clock | 3 GHz |
| Memory Interface | 384-bit |
| API Supported | OpenCL 1.2, OpenACC |
| Fanless | Yes |
| Dimensions (WxDxH) | 26.7 cm x 11.1 cm x |
| Designed For | ProLiant XL250a Gen9 Accelerator Tray |
| General | |
| API Supported | OpenCL 1.2, OpenACC |
| Boost Clock | 875 MHz |
| Bus Type | PCI Express 3.0 x16 |
| CUDA Cores | 2880 |
| Core Clock | 745 MHz |
| Device Type | GPU computing processor – fanless |
| Features | Nvidia CUDA technology, Error Correcting Codes (ECC) Memory, SMX technology, NVIDIA GPU Boost, Kepler GPU Architecture, Dynamic Parallelism, Hyper-Q |
| Graphics Engine | 1 GPUs – NVIDIA Tesla K40 |
| Compatibility Information | |
| Designed For | HPE ProLiant XL250a Gen9 Accelerator Tray |
| Memory | |
| Bandwidth | 288 GBps |
| Bus Width | 384-bit |
| Effective Clock Speed | 3 GHz |
| Size | 12 GB |
| Technology | GDDR5 SDRAM |
| Miscellaneous | |
| Compliant Standards | WEEE, Directive 2002/95/EC |
| Depth | 26.7 cm |
| Height | 11.1 cm |
| Power Consumption Operational | 235 Watt |
| System Requirements | |
| Additional Requirements | Dual-width x16 graphics slot, 6-pin + 8-pin power connectors |
| OS Required | Microsoft Windows 7 Professional 64-bit Edition, Microsoft Windows Server 2008 x64 Edition, Red Hat Enterprise Linux 5 x64 Edition, Red Hat Enterprise Linux 6 x64 Edition, SuSE Linux Enterprise Server 11 x64 Edition, Windows 8 64-bit Edition, Microsoft Windows Server 2012 x64 Edition |
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