AI and GPU cluster networking — built to feed the fabric, not starve it.

High-performance network design for AI training and inference workloads — RoCEv2, InfiniBand, lossless Ethernet fabrics, and the operational rigor to keep them running.

What we deliver

  • Back-end GPU fabric design — NVIDIA Spectrum-X, Cisco Nexus 9000, Arista 7060/7800, Juniper QFX
  • RoCEv2 and InfiniBand design — PFC, ECN, DCQCN tuning for lossless Ethernet
  • Storage fabric design for NVMe-oF, GPUDirect, and high-throughput checkpointing
  • 400G and 800G spine/leaf architectures with non-blocking east-west capacity
  • Cluster validation — collective operation benchmarks, latency/jitter profiling, fabric telemetry
  • Power, cooling, and cabling coordination — because GPU racks stress every layer of the facility

Why the network is the bottleneck

GPUs sit idle when the fabric can’t keep up. Tail latency on collective operations is where most AI clusters leave performance on the floor. We design for the traffic patterns these workloads actually produce — not generic DC best practices.

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