Inside Nvidia’s AI factory networking strategy: New theCUBE Research analysis
As enterprises move artificial intelligence into production, AI factory networking is becoming a core part of the infrastructure equation, shaping performance, scalability and cost.
That shift is the focus of a new analysis by Bob Laliberte, principal analyst at theCUBE Research. The analysis draws on a recent discussion with Gilad Shainer, senior vice president of networking at Nvidia Corp., hosted by Laliberte and theCUBE Research chief analyst, Dave Vellante.
The central argument is that enterprise AI infrastructure can no longer be evaluated primarily by the number or speed of its graphics processing units. Networking, compute, storage and software must operate as one coordinated system.
Nearly 95% of organizations responding to theCUBE Research’s “Networking for AI” study said networking is more important to achieving business objectives than it was two years ago.
