Innovations for AI Networking
Bringing SWAG to Enterprise Campus Networking!
The Networking Revolution Powering Generative AI
Various Dates & Locations
March 17-21
March 30 - April 3
Upcoming webinars and archive
Artificial intelligence continues to be a focal point for companies in all areas of technology and communications as demand from enterprise customers continues to soar, but one of the underappreciated aspects of AI is that a network plays a critical role in the success of AI initiatives.
Arista adds cluster load balancing to its flagship operating system and AI job management capabilities to its CloudVision network observability platform.
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.
As we've been covering in multiple threads in Futuriom, it’s exciting times in networking. AI has reinvigorated the race to build hyperscale clusters for AI on both the inference and training sides. Networking is a key enabler of these services.
When it comes to building campus networks, there is a religion around stacking versus chassis-based systems.
Arista says companies can switch to its campus network while holding on to legacy stacked switches.
Cluster Load Balancing (CLB) in Arista EOS® maximizes AI workload performance with consistent, low-latency network flows, while Arista CloudVision® Universal Network Observability™ (CV UNO™) now offers AI job-centric observability for enhanced troubleshooting and rapid issue inference ensuring job completion reliability at scale.
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