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Optimizing AI/ML Infrastructure with Adaptive Load Balancing

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Optimizing AI/ML Infrastructure with Adaptive Load Balancing

In this video, Alok Pandey, Product Line Manager at Juniper Networks, introduces a new technology, "Adaptive Load Balancing" (ALB) for ECMP Next Hops. ALB for ECMP is designed to optimize traffic flows distribution in AI/ML infrastructures, based on Juniper PTX routers and Express ASICs.ALB dynamically adjusts data flow routing, preventing link overload and maximizing efficiency. Express ASICs provide built-in intelligence for real-time traffic analysis and adjustment, ensuring smooth data flow even under demanding workloads.

How ALB Works:
– Traffic analysis: Identifies flows and measures bandwidth usage.-
Dynamic adjustment: Distributes traffic to prevent overload.

ALB acts as a smart traffic management system, preventing bottlenecks and ensuring smooth data flow for AI/ML workloads.

This feature is introduced with Junos 24.4R1 and a techpost article will be published later, detailing the technology.

PTX Series:
https://www.juniper.net/us/en/products/routers/ptx-series.html

Date: November 14, 2024