Redesigning Enterprise Networks for the AI Era
As AI moves from isolated applications to organization-wide deployment, enterprise networks must evolve from simply connecting users and applications to supporting intelligent, autonomous systems that generate, move, and process massive amounts of data in real time.
Traditional enterprise networks were never designed for AI workloads.
AI introduces entirely new traffic patterns, ultra-low latency requirements, distributed inference, GPU-to-GPU communications, and millions of interactions between autonomous agents, applications, and services. At the same time, IT organizations are expected to operate increasingly complex environments with greater speed, resilience, security, and efficiency than ever before.
Meeting these demands requires more than incremental upgrades. It requires a new network architecture.
The AI Networking & Autonomous Operations Working Group brings together enterprise networking leaders and vendors to define what that architecture should look like; establishing the principles, reference architectures, and operational frameworks needed to build AI-native network fabrics that can support the next generation of enterprise computing.
Interested? Apply to Join Here or listen to the Working Group Launch Call
