Distributed Etherlink fabric platform scaling beyond 22 Pbps aggregate capacity across 800G interfaces for large-scale AI/ML cluster and HPC interconnect.
The Arista 7700R4 Distributed EtherLink Switch is an architectural departure from traditional modular chassis design: rather than containing all line cards within a single cabinet, the 7700R4 separates the central switching fabric (housed in the 7700R4-SUP supervisor unit) from distributed line-card pods (7700R4-LP line-card pods) connected via high-speed fabric links, allowing the aggregate port count to scale beyond what a single chassis can physically accommodate. This distributed architecture targets petabit-class AI spine switching where the bandwidth requirements of tens of thousands of GPU nodes exceed the port density of any conventional modular chassis.
Line-card pods support 400G and 800G Ethernet interfaces for GPU node attachment, with fabric interconnect operating at 800G or higher between the supervisor and pods to provide non-blocking switching across the distributed topology. The platform runs EOS with full AI fabric features including Priority Flow Control, DCQCN hardware congestion control, RoCE v2 support, and hardware ECN marking, applying the same lossless Ethernet fabric controls as the 7358X4 and 7368X4 modular AI fabric switches, but at a scale that those chassis cannot reach within a single cabinet.
Separating the switching supervisor from line-card pods allows the 7700R4 to scale port count past the physical limits of any single chassis, reaching petabit-class aggregate capacity across a multi-cabinet distributed switching domain. Each pod connects to the central fabric via dedicated high-speed fabric links rather than sharing backplane bandwidth with other line cards, preserving non-blocking forwarding as the system scales.
The 7700R4's distributed architecture is designed for AI cluster fabrics connecting tens of thousands of GPU nodes, a scale at which the per-spine bandwidth requirement exceeds what any single 400G or 800G chassis can provide. By aggregating multiple line-card pods behind a single switching fabric, the 7700R4 presents a unified, single-hop switching domain to all attached GPU nodes, preserving the full-mesh connectivity that AI collective operations require.
Hardware DCQCN, PFC, and ECN marking (the same congestion control stack as the 7358X4 and 7368X4) operates at the 7700R4's full distributed switching capacity. This ensures that the AI fabric congestion management that prevents GPU stalls during AllReduce operations scales proportionally with the bandwidth of the distributed platform, without requiring software slowpath involvement at any traffic level.
Line-card pods support both 400G QSFP-DD and 800G OSFP interfaces for GPU-node attachment, allowing the fabric to connect current 400G-attached GPU generation and future 800G-attached GPUs within the same distributed switching domain. Pods can be mixed within the same distributed system, protecting the infrastructure investment across multiple GPU hardware generations without requiring spine replacement.
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