Arista 7800R4 (7808R4) Jericho3-AI 800GbE Modular AI Spine Switch
8-slot 800G modular spine purpose-built for large AI clusters
We help you choose, configure, and deliver the right system — no obligation.




Configuration at a Glance
Tailored per engagement. Full technical overview below.
Overview
The Arista 7808R4 is an 8-slot modular AI spine built on Broadcom Jericho3-AI silicon, configured with redundant supervisors and fabric for the largest 800GbE GPU-cluster backbones. Each chassis is assembled to the specified line-card and EOS configuration, fully tested, and delivered through authorized Arista channels with manufacturer warranty.
Who This Solution Is For
Business Benefits
Extreme spine scale
A single 8-slot system aggregates hundreds of 800G or 400G links to back very large GPU clusters.
AI-optimized forwarding
Jericho3-AI's AI-tuned pipeline with VOQ deep buffering keeps collective traffic lossless and fair end to end.
Operational resilience
Redundant supervisors, fabric, power, and discrete cooling zones sustain mission-critical AI fabrics.
Typical Business Use Cases
800G lossless AI training spine
Large-scale GPU cluster backbone
Consolidated HPC spine tier
High-radix cloud and AI-center core
Industry Applications
Technical Overview
The 7808R4 implements Broadcom Jericho3-AI processors with an AI-optimized packet pipeline and Arista's cell-based fabric, virtual output queues, distributed credit scheduling, and deep buffering for non-blocking lossless forwarding. Configured with 36x800G line cards, the 8-slot chassis scales toward hundreds of 800GbE ports (with 400G breakout) at power efficiency near 6W per 100Gbps, managed by EOS and CloudVision.
| Chassis | 7808R4, 8-slot modular, redundant supervisors and fabric |
| Line Cards | 36 x 800GbE per card; breakout to 25/50/100/200/400G |
| Port Density | Up to ~288 x 800GbE / ~576 x 400GbE per chassis |
| Silicon | Broadcom Jericho3-AI, AI-optimized packet pipeline |
| Architecture | Cell-based fabric, VOQ, distributed credit scheduling, deep buffer |
| Power Efficiency | As low as ~6W per 100Gbps |
| Cooling | Discrete cooling zones, front-to-rear airflow |
| Operating System | Arista EOS with CloudVision and streaming telemetry |
| Warranty | Arista limited hardware warranty via authorized channel |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
What scale of AI cluster does the 7808R4 spine support?
The 8-slot chassis scales to hundreds of 800G ports, enough to spine very large GPU clusters; we size the exact line-card and breakout configuration to your target GPU count and oversubscription during quoting.
How is the 7800R4 AI Spine different from the 7800R3?
The R4 moves to Broadcom Jericho3-AI silicon with an AI-optimized pipeline and native 800GbE, raising density and AI-traffic efficiency over the prior Jericho2-based 7800R3 generation.
Does it pair with 400G leaf switches?
Yes; it is designed to spine 400G leaf tiers such as the 7060X5, using 800G uplinks or 400G breakout while keeping the fabric lossless end to end.
Hardware Assistance
Configure the Arista 7800R4 (7808R4) Jericho3-AI 800GbE Modular AI Spine Switch with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.