Solution Benefits

Juniper Networks has excelled in building and supporting AI networks following a scalable, robust, and automated approach suitable for a range of cluster sizes. Unlike proprietary solutions that lock in enterprises and can stifle AI innovation, Juniper’s standards-based solution assures the fastest innovation, maximizes design flexibility, and prevents vendor lock-in on the Frontend, GPU Backend, and Storage Backend AI fabric networks.

The Juniper Validated Design (JVD) for AI describes a structured approach for deploying high-performance AI training and inference networks that minimize job completion time and maximize GPU performance. Additionally, it incorporates industry best practices, and leverages Juniper’s extensive expertise in building high-performance data center networks.

This design in this JVD employs a 3-stage Clos IP fabric architecture utilizing Juniper QFX and PTX switches. It integrates NVIDIA GPUs and WEKA storage and is deployed and managed using Juniper’s Apstra software and Terraform Automation, incorporating best practices and Juniper’s extensive experience in building Data Center networks.

The integration with Juniper’s Apstra software and Terraform enables customers to orchestrate the network infrastructure systematically, without requiring in-depth knowledge of the products and technologies involved. This allows customers to easily build high-capacity, easy-to-operate network fabrics that deliver high performance, increased reliability, which result in optimal JCT (Job Completion Time) and maximized GPU utilization in the AI cluster.

The solution has been extensively tested and thoroughly documented by Juniper subject matter experts, resulting in a validated design that is easy to follow, guarantees successful implementation, and simplified management and troubleshooting tasks. This document provides comprehensive guidance on how to deploy this solution, with clear descriptions of its components and step by step instructions to connect and configure them.