Future of AI Infrastructure: Building AI Across Multiple Data Centers | Rakesh Chopra
About this episode
Rakesh Chopra discusses the challenges of scaling AI infrastructure across multiple data centers.
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
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