At this week’s NVIDIA GTC, much of the conversation will focus on the infrastructure powering the next wave of AI. One concept gaining traction is the idea of “AI factories.” Data centers designed to convert energy and data into intelligence at scale. Ahead of GTC, Alexis sat down with theCUBE Research for a panel to explore that idea and what it means for the future of AI infrastructure. Training builds the models. Inference delivers the value. Every recommendation, vision system, assistant, or autonomous decision happens at inference time. Which means the future of AI infrastructure will not just be about bigger training clusters. It will be about running inference efficiently, everywhere. Watch the conversation: eu1.hubs.ly/H0sHJZQ0 #AIInfrastructure #AIInference #EdgeAI #GTC

→ View original post on X — @axeleraai, 2026-03-17 09:16 UTC