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Reference architectures and positioning: Dell AI Factory with NVIDIA

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RA landscape

Sizing

Dell AI Factory

Positioning

Reference architectures and positioning: Dell AI Factory with NVIDIA

Which RA governs the deal, how to size the fabric from GPUs to BOM, and how to win Ethernet vs InfiniBand on published facts.

4 modules20 lessons9 h 28 min4 checkpoints

The design layer above the NIC. Read the published NVIDIA reference architectures — DGX SuperPOD, Enterprise RA (HGX AI Factory, NVL72 AI Factory), and the per-platform validated stacks — and know which one governs a given Dell deal. Decode node nomenclature (2-8-9-400), separate NVLink scale-up from the RDMA fabric, and size a cluster end to end: GPUs to SuperNICs to planes to leaf/spine ports to optics to BOM, with every ratio cited to the page it came from. Then map the RA onto what Dell actually sells (PowerEdge XE9680/XE9780/XE9785, PowerSwitch SN-series and Q-series, PowerScale F710), learn the three real support paths, and run the Ethernet-vs-InfiniBand positioning conversation on published claims only. Ends with timed FAE scenarios and an NCP-AIN gap plan. Interactive sizing tools, two-variant labs (containerlab/NVIDIA Air/Cumulus VX with no NVIDIA switch, or the Dell-lab BlueField-3 and ConnectX hosts).

Who it is for: FAEs positioning Dell AI Factory with NVIDIA: sizing, BOMs, Ethernet vs InfiniBand.

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