AI cluster networking depends on more than transceiver speed. GPU systems, Ethernet fabrics, InfiniBand fabrics, breakout cables, optical media, switch platforms, NICs, and rack layouts all need to work together before the design moves into production.
Use this reference page to compare common 400G, 800G, and 1.6T AI interconnect patterns by media type, reach, topology, breakout format, and deployment use case.
This overview introduces the main design goals behind the reference architecture: interoperability validation, high-performance design, topology flexibility, breakout planning, and deployment support.
The diagrams separate copper, multimode fiber, and single-mode fiber paths so teams quickly see what media type each pattern uses.
These patterns show how 400G, 800G, and 1.6T links connect GPU nodes, switches, NICs, servers, leaf tiers, and spine tiers. Use them as starting points for design review, with platform validation before production.
Best for GPU node connectivity in AI clusters where ultra-low latency and high-density racks are priorities.
Best for connecting 400G switch ports to 200G servers, GPU adapters, or scalable leaf nodes.
Best for high-density spine-to-leaf Ethernet designs and next-generation AI cluster fabrics.
Best for spine uplinks and hyperscale fabrics that need dual 400G endpoints from an 800G port.
Best for top-of-rack aggregation and server fanout where 400G uplinks connect to 100G endpoints.
Best for short-reach switch-to-switch or leaf connections using multimode fiber.
Best for longer reach switch-to-switch, data center interconnect, and leaf-to-spine paths.
Best for high-bandwidth 800G spine interconnects, AI fabrics, and 800G backbone links.
These supporting references help teams compare media types, validate mechanical fit, review NIC ecosystem examples, and choose topology patterns before a design is finalized.
Compare DAC, AEC, AOC, SR4, DR4, FR4, and LR4 by connector, reach, and use case.
Review form factor support, cable examples, host compatibility, and physical fit before deployment.
Review common NICs, adapters, switches, and platforms used across AI infrastructure environments.
Compare spine-leaf Ethernet fabrics, GPU pod clos fabrics, and rack-level deployment examples.
AI interconnect planning should include platform compatibility across switches, NICs, adapters, and server environments.
Use this checklist before moving from a reference architecture into procurement, staging, or production deployment.
Send Axiom your switch platform, NIC or adapter type, target speeds, breakout requirements, cable path, media preference, rack layout, and deployment timeline. Axiom's networking team will help review interconnect options, compatibility requirements, and deployment risks before hardware reaches production.
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