Arista Networks has unveiled the EOS Smart artificial intelligence (AI) Suite, aimed at enhancing performance and efficiency for AI workloads. The introduction of Cluster Load Balancing (CLB) supports consistent, low-latency network flows, optimizing traffic management across AI clusters. Designed with AI-grade robustness, CLB employs Ethernet-based load balancing to improve bandwidth utilization and reduce latency by ensuring uniform performance for all data flows. This is critical as AI workloads typically feature large bandwidth flows that traditional balancing methods may not effectively manage.
Jag Brar, vice president and Distinguished Engineer at Oracle, noted the increasing demand for advanced load balancing techniques to alleviate flow contention in machine learning networks. The CLB feature is identified as essential to meet this need.
Additionally, the suite includes CloudVision Universal Network Observability (CV UNO), which enables comprehensive monitoring of AI job metrics to aid in troubleshooting. This observability tool leverages real-time network data to enhance the visibility and reliability of AI workloads. Key functionalities include AI job monitoring, deep-dive analytics, flow visualization, and proactive resolution of performance issues.
Arista’s Etherlink AI Platforms deliver high-performance Ethernet solutions suitable for various AI network scales, from small clusters to extensive deployments. The platforms support high-resolution traffic data, enabling precise performance monitoring and optimization. Features from this suite will gradually roll out, with certain capabilities already available on select platforms, while others are scheduled for future release.
