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Accelerate Your AI Deployment

For Network ArchitectsFor IT Directors

A pre-validated 400G and 800G fabric for AI data centers, co-engineered by Arista and Broadcom. Cluster tens of thousands of accelerators in efficient 2-tier leaf-spine topologies — without bandwidth bottlenecks or thermal compromises.

800G
End-to-end AI fabric, co-engineered with Broadcom
Source: Arista–Broadcom AI Networking Solution Brief
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Arista AI networking
The Challenge

AI workloads expose every weakness in a legacy fabric

AI training is the most demanding workload in the data center. Synchronized GPU communication, RoCEv2 transport, and microsecond tail latency leave no room for dropped packets or 3:1 oversubscription. A single congestion event can stall a multi-million-dollar training job. Most fabrics weren't built for this — Arista and Broadcom's joint reference designs were.

The Solution

A lossless, open-standards fabric tuned for AI

Hardware, software, and topology choices working together — not three separate procurement decisions.

Open standards Ethernet

Choose your accelerators, NICs, and storage on merit. No proprietary fabric lock-in, no special cable, no vendor tax on every port.

2-tier topologies at scale

Fixed and modular platforms enable clusters of tens of thousands of accelerators in efficient leaf-spine, plane, and rail-optimized designs.

Lossless transport

Priority Flow Control and Explicit Congestion Notification, tuned with Broadcom for AI workloads, deliver the throughput and tail-latency profile RDMA needs.

End-to-end telemetry

LANZ, AI Job Observability, and CloudVision give operators per-flow and per-job visibility — so a slow training run becomes a tractable problem, not a mystery.
Pre-sales support

Plan your AI fabric with an Arista specialist

Sizing, topology, optics, and validated reference designs — before the GPUs arrive on the loading dock.

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Featured Platforms

Built on these Arista platforms

7800R4 AI Spine

Why it accelerates AI: 800G modular spine with VOQ and deep packet buffers. Absorbs the synchronized all-to-all bursts that stall training jobs on shallow-buffer fabrics — so your GPUs stay computing instead of waiting on retransmits.
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7060X6 Series

Why it accelerates AI: Highest 800G port density per rack unit means fewer leaves to manage and fewer cable runs in plane-based topologies. Pre-tuned PFC/ECN profiles ship as a starting point — not a research project.
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7060X5 Series

Why it accelerates AI: The proven 400G workhorse leaf. RoCEv2-tuned out of the box, breakout-flexible from 100G to 400G — so the rack you build today still works when next-gen NICs land.
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7060X4 Series

Why it accelerates AI: Mixes AI and general-purpose workloads on one platform. Ideal for first-AI-pod deployments where the same fabric serves training, inference, and adjacent enterprise services.
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7700R4 Distributed Etherlink

Why it accelerates AI: Distributed disaggregated chassis built for accelerated computing. Replaces a row of chassis spines with a single logical fabric — the 800G scale-out tier for the largest training jobs.
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7800R3 Series

Why it accelerates AI: Proven Jericho-based 100/400G modular spine with the deep buffers AI workloads need. The "boring, reliable" backbone for AI fabrics already in production at hyperscale.
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Download the brief

Topology details, switch families, and tuning guidance.

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