EN-Labs 11-001-366 PCIe x4 USB 3.2 10Gbps 5-port card
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NVIDIA
Multi-GPU accelerator with four GPUs and 32GB GDDR5 memory delivering 2560 CUDA cores for up to 64 concurrent VDI users over PCI Express 3.0 x16
The Dell NVIDIA Tesla M10 is a GPU accelerator built for virtual desktop infrastructure. It places four GPUs on a single board with 2560 CUDA cores and 32GB of GDDR5 memory. The card supports up to 64 concurrent users in high-density virtualized environments. It connects through a PCI Express 3.0 x16 slot.
Installation requires a PCI Express 3.0 x16 slot and enough physical space for a full-height, dual-slot card. Server chassis airflow must handle the thermal load of four GPUs on one board. Driver installation follows the standard NVIDIA GRID or virtual GPU manager workflow for the chosen hypervisor. A common issue is forgetting to enable SR-IOV or the correct vGPU profile in the hypervisor before launching desktops.
Verify the server motherboard provides a PCI Express 3.0 x16 slot with adequate power delivery for the card. Confirm the hypervisor version supports NVIDIA vGPU software and the required vGPU manager release. Ensure the chassis power budget and cooling capacity can sustain the multi-GPU board under load. Check that the virtual desktop workload fits within the 32GB GDDR5 frame buffer across the four GPUs.
| Brand | Dell |
|---|---|
| Part Number | H56H0 |
| Interface | PCI Express 3.0 x16 |
| Chipset Manufacturer | NVIDIA |
| Memory Type | GDDR5 |
After installing the card in a PCI Express 3.0 x16 slot, check the management console to confirm all four GPUs and the full 32GB GDDR5 memory are detected, then monitor that the 2560 CUDA cores per GPU are available for your VDI workloads.
The box contains the Dell H56H0 accelerator card with 32GB GDDR5 memory and a PCI Express 3.0 x16 interface; you will need to provide a compatible server chassis, adequate power delivery and cooling, plus the NVIDIA GRID software licences for your virtual desktop deployment.
The Dell H56H0 is offered only in the 32GB GDDR5 configuration with four GPUs and 2560 CUDA cores each, supporting up to 64 concurrent users per card; select this model when you need that density and memory footprint.
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