Intel Arc Pro B70 32GB GDDR6 256-bit PCIe 5.0 x16 33P01IB0BB workstation graphics card
- PCIe 5.0 x16
- Intel
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Dual-GPU accelerator with 16 GB DDR3 memory and 768 CUDA cores for ProLiant DL380p Gen8 and DL380 Gen9 servers
This HP GRID K1 J0G94A accelerator targets virtual desktop infrastructure and high-performance compute inside HPE ProLiant servers. Four GPUs share 16 GB of DDR3 memory, each slice providing 4 GB and 192 CUDA cores for concurrent workloads. The PCI Express 3.0 x16 interface fits supported Gen8 and Gen9 platforms directly.
Passive cooling removes onboard fans, relying on server airflow to manage thermals at the 850 MHz core clock. A single 6-pin auxiliary connector supplies the board, keeping cabling simple in dense racks. Memory runs at 1782 MHz effective across a 128-bit bus per GPU.
The card measures 10.5 inches by 4.4 inches and occupies a dual-slot width, matching the ProLiant DL380p Gen8 and DL380 Gen9 brackets. No active fan means one less moving part to service. Builders needing active cooling or consumer display outputs should choose a different accelerator.
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| Product | |
|---|---|
| Brand name | HP |
| Product line | ProLiant |
| Model name | J0G94A |
| Memory | |
| Type of memory | DDR3 |
| Memory clock | 1782 MHz effective |
| Graphics | |
| Graphics processor | GRID K1 |
| Memory capacity | 16 GB (4 GB/GPU) |
| CUDA core count | 768 (192/GPU) |
| Core frequency | 850 MHz |
| Chipset maker | NVIDIA |
| Memory bus width | 128-bit |
| DirectX support | 12.0 (11_0) |
| OpenGL support | 4.6 |
| Ports & slots | |
| Interface type | PCI Express 3.0 x16 |
| Auxiliary power connector | 6 Pin |
| Size & build | |
| Dimensions (l x h) | 10.5 in × 4.4 in |
| Slots occupied | Dual Slot |
| More details | |
| Cooling solution | Passive cooling |
Insert the dual-slot card into a PCI Express 3.0 x16 slot, then attach the 6-pin auxiliary power connector; the power cable is the step most often forgotten.
The passive cooler has no moving parts to replace; schedule regular cleaning of the heatsink fins with compressed air to prevent dust buildup that reduces thermal performance.
The 128-bit bus and 1782 MHz effective clock cap memory bandwidth, so bandwidth-bound kernels hit that ceiling before the 768 CUDA cores reach full utilisation.
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