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Build Complete AI Infrastructure

For Network ArchitectsFor IT Directors

Arista's AI-tuned 400G/800G fabric paired with the VAST Data Platform — a unified, multi-tenant stack with scale-as-you-grow economics. Designed for organizations at any stage of their AI journey, validated as a single solution.

Independently scale compute and capacity
Source: VAST DASE architecture · validated with Arista AI fabric
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Arista + VAST AI infrastructure
The Challenge

Storage, networking, and compute can't be three separate decisions

AI projects often stall because each layer was sized in isolation. Tail latency in storage cascades into idle GPUs. A fabric tuned for general workloads chokes on training-job collectives. Procuring three stacks and hoping they integrate is how multi-quarter delays start.

The Solution

A validated reference architecture for end-to-end AI

VAST Data's Disaggregated Shared-Everything (DASE) storage on an Arista AI fabric — designed and tested as one system.

DASE storage architecture

Independently scale stateless compute and high-performance NVMe capacity. All-flash file, object, and tabular data services on a single platform.

AI-tuned 400G/800G fabric

Lossless Ethernet with PFC and ECN, deep-buffer modular spines, and topology guidance for training and inference workloads.

Multi-tenant and secure

Enterprise security standards baked in — designed for shared GPU clouds and regulated enterprise environments.

Scale as you grow

Start with a small training pod, expand to a multi-rack GPU cloud — the same architecture, the same operational model.
Pre-sales support

Map your AI stack with us

From training cluster sizing to data-pipeline throughput — we'll connect the dots between Arista and VAST.

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Featured Platforms

Arista platforms used in the validated design

7800R4 AI Spine

Role in the validated design: The 800G AI core. Pairs with VAST D-Boxes over shared spine ports so storage I/O and GPU all-to-all traffic share the same lossless fabric — no separate storage network to operate.
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7800R3 Series

Role in the validated design: 100/400G spine for mid-scale AI pods. Deep buffers absorb VAST DASE controller bursts so GPU collective ops aren't penalized by storage I/O bursts on the same fabric.
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7060X6 Series

Role in the validated design: 800G GPU-rack leaf. High port density per RU lands one leaf-pair per 8-GPU server — clean cabling at GPU densities most networks haven't seen yet.
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7060X5 Series

Role in the validated design: 400G inference and first-AI-pod leaf. Right-sized for VAST single-cluster deployments — full RoCEv2 tuning without paying for spine-class capacity you won't use yet.
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7700R4 Distributed Etherlink

Role in the validated design: Cross-row 800G fabric for stacks that outgrow a single chassis. One logical switch operates a multi-rack VAST + GPU pod — no row-of-row interconnect to babysit.
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CloudVision

Role in the validated design: Single pane of glass across compute fabric and storage fabric. AI Job Observability ties slow training runs to the specific switches, queues, or links responsible — instead of finger-pointing between teams.
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Download the brief

Reference architecture, throughput, and scale details.

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