How is networking infrastructure evolving to support AI deployment?
Shekar Ayyar, CEO from Arrcus, explains:
– As AI moves from training to inference, distributed networks become crucial for connecting multiple data centers and edge locations
– Ethernet is emerging as a comprehensive networking solution, capable of handling everything from GPU stack connectivity to edge inference
– Built-in security features at the network level, like route origin validation, are becoming essential for AI infrastructure protection
Want to be involved our video series? Contact [email protected]
Check out full showcase at: https://ngi.fyi/DCNetwork-AI-yt to learn more about data center networking for AI and cloud workloads
