Future of AI Infrastructure: Building AI Across Multiple Data Centers | Rakesh Chopra

Everyone is talking about bigger AI clusters. What happens when those clusters need to span multiple data centers? At Cisco Live, I sat down with Rakesh Chopra, SVP & Fellow, Common Hardware Group at Cisco on The Ravit Show, to discuss one of the less talked about challenges in AI infrastructure: scaling AI beyond a single data center. A few key themes from our conversation: -- The industry is moving from scale-up and scale-out to scale-across architectures -- Connecting GPUs across data centers is becoming a critical challenge as organizations build larger AI environments -- Power efficiency is now as important as raw performance, driving innovation in silicon and optics -- Network reliability and low-latency communication are essential as AI clusters stretch across geographic boundaries -- Co-designing networking, silicon, and optics is becoming a requirement rather than an optimization The AI conversation often focuses on models. But the real story may be the infrastructure required to make those models work at scale. #CiscoLive #AI #Networking #Innovation #TheRavitShow