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64 GPU AI cluster network: DGX H100

Sixty-four links at 400G is exactly one QM9700. No spine, and rail optimization buys nothing: every GPU is already one hop from every other.

The build

PlatformNVIDIA DGX H100, 8 × H100 SXM5 per node
Compute fabricinfiniband, 8 rails at 400G
Leaf1 × QM9700 (Quantum-2)
Spinenot required at this scale
Corenot required at this scale
Racks2 compute + 1 network, 4 nodes per rack, limited by fixed
Power82 kW compute + 4 kW network = 86 kW

How this fabric was sized.

64 endpoints at 400G fit a single QM9700 (Quantum-2) with 0 ports spare. No spine tier is needed and rail optimization buys nothing here: every GPU is already one hop from every other. A rail-optimized arrangement at this size would cost one leaf per rail plus spines to join them, for no gain. Note this is a single point of failure for the compute fabric; a second switch for redundancy is a resilience decision rather than a capacity one.

Fabrics

Compute

64 endpoints across 8 rails, 1 tier, realised oversubscription 1:1 (non-blocking).

TierSwitchCountDown/swUp/swPorts used
leaf NVIDIA QM9700 (Quantum-2) 1 64 0 64 / 64

Storage

48 endpoints across 1 rail, 2 tiers, realised oversubscription 1.91:1.

TierSwitchCountDown/swUp/swPorts used
leaf NVIDIA QM9700 (Quantum-2) 2 42 22 92 / 128
spine NVIDIA QM9790 (Quantum-2, externally managed) 1 64 0 44 / 64

In-band management

16 endpoints across 1 rail, 2 tiers, realised oversubscription 3.67:1.

TierSwitchCountDown/swUp/swPorts used
leaf Cisco Nexus 93600CD-GX 1 22 6 22 / 28
spine Cisco Nexus 93600CD-GX 1 28 0 6 / 28

Out-of-band management

21 endpoints across 1 rail, 1 tier, realised oversubscription 1:1 (non-blocking).

TierSwitchCountDown/swUp/swPorts used
leaf Cisco Nexus 9348GC-FX3 1 48 4 21 / 48

Bill of materials

Every line carries the calculation that produced its quantity. Prices are deliberately absent: the catalog ships without list prices, because inventing them would be worse than leaving them out.

ItemQtyWhy this quantity
Servers
DGX H100 (8 x H100 SXM5) 8 64 GPUs requested / 8 GPUs per node = 8 nodes (64 GPUs).
Network adapters
NVIDIA ConnectX-7 400G (NDR)
MCX75310AAS-NEAT
64 8 nodes x 8 compute NICs per node (one per rail).
Compute fabric switches
NVIDIA QM9700 (Quantum-2)
MQM9700-NS2F
3 3 across Compute fabric (single switch) leaf, Storage fabric leaf.
NVIDIA QM9790 (Quantum-2, externally managed)
MQM9790-NS2F
1 1 across Storage fabric spine.
Management switches
Cisco Nexus 9348GC-FX3
N9K-C9348GC-FX3
1 1 across Out-of-band management leaf.
Cisco Nexus 93600CD-GX
N9K-C93600CD-GX
2 2 across In-band management leaf, In-band management spine.
Optics — transceivers
800G OSFP 2xSR4 twin-port (NDR)
MMA4Z00-NS
46 44 x 400G Storage leaf to Storage spine at 30 m. 30 m run needs discrete optics over structured fiber. 800G OSFP 2xSR4 twin-port (NDR) at Storage leaf and 800G OSFP 2xSR4 twin-port (NDR) at Storage spine, over MPO-12 APC OM4 multi-mode trunk. The Storage leaf module is twin-port, so it terminates 2 links and only 0.5 module is needed per link.
Cables and assemblies
100G QSFP28 passive DAC 17 16 x 100G In-band NIC to In-band switch at 2 m. 2 m run is within the 2 m passive copper limit. Optics are integrated into the assembly, so no separate transceivers are needed.
800G OSFP to 2x400G OSFP splitter DAC
MCP7Y00-N001
58 64 x 400G Compute NIC to Leaf at 2 m. 2 m run is within the 2 m passive copper limit. Optics are integrated into the assembly, so no separate transceivers are needed; one cage breaks out to 2 links.
Cat6a patch lead 22 21 x 1G BMC / device management port to OOB switch at 2 m. 1G over structured copper, 2 m within the 100 m limit for Cat6a patch lead.
Structured fibre
MPO-12 APC OM4 multi-mode trunk 46 44 x 400G Storage leaf to Storage spine at 30 m. 30 m run needs discrete optics over structured fiber. 800G OSFP 2xSR4 twin-port (NDR) at Storage leaf and 800G OSFP 2xSR4 twin-port (NDR) at Storage spine, over MPO-12 APC OM4 multi-mode trunk. The Storage leaf module is twin-port, so it terminates 2 links and only 0.5 module is needed per link.
Racks
Rack 3 2 compute racks at 4 nodes each (fixed-limited) plus 1 network racks.
Power
Rack PDU 6 3 racks x 2 PDUs per rack.

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