BE Networks
Executive perspectives from BE Networks across NextGenInfra's event and research showcases.
2 video interviews · 2026
AI Networks at 150,000-GPU Scale
- BE Networks builds networks for AI — including a 150,000+ GPU deployment with IREN — and uses AI to run them better.
- Avoiding congestion can require action within nanoseconds, far faster than human operators can respond.
- Time series and graph databases work with AI agents to diagnose, predict, and prevent failures, which is essential for neoclouds at scale.
Abstract
Amir Elbaz, CEO of BE Networks, explains how his company both builds networks for AI, including a deployment with partner IREN bringing up more than 150,000 GPUs, and applies AI to improve network utilization and resiliency at speeds far beyond human response. Using time series and graph databases working with AI agents, BE Networks diagnoses issues and predicts and prevents failures before they occur, a capability Elbaz positions as essential for neocloud operators running AI infrastructure at scale.
How AI Powers Outcome-Driven Networking for Enterprises
- BE Networks positions itself as a control plane for large fabrics, edge deployments, private clouds and neoclouds.
- As hyperscaler technology flows down to enterprises, the company helps them build better networks.
- Its new outcome-driven networking moves beyond intent, using AI to deliver the result customers actually want rather than just the starting point.
Abstract
Amir Elbaz, CEO and founder of BE Networks, speaks at a sold-out OCP event with 14,000 attendees and describes his company as a control plane for large fabrics, edge deployments, private clouds, and neoclouds that helps enterprises build better networks as technology flows down from the hyperscalers. He introduces outcome-driven networking, which moves beyond intent-based networking by retooling BE Networks products and applying AI to deliver the outcomes customers seek, and he notes that open networking is gaining significant momentum.