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AI Infrastructure: From Power to Production
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AI is no longer just about models—it’s about the infrastructure that makes them viable at scale.
This panel brings together leaders across storage, hardware, cybersecurity, enterprise IT, and AI-native platforms to examine the AI stack end-to-end.

  • Enterprise & Strategy: Rohit Jain (CIO, Harvard Business School) on institutional AI adoption and infrastructure decision-making
  • AI Data Infrastructure: Lauren Vaccarello (CMO, Weka) on high-performance storage for AI workloads
  • AI Hardware & Data Centers: Yong Tan (Global Director, AI Data Center, Supermicro) on GPU systems and AI-ready infrastructure
  • AI Security: Nat Natraj (CEO, AccuKnox) on securing AI pipelines and cloud-native environments
  • AI-Native Applications: Neha Deodhar (CEO, Gypsum AI) on AI agents and real-world AI deployment

Together, the discussion will connect land, power, data centers, GPUs, orchestration, security, models, and enterprise applications — providing a holistic view of what it takes to build and operate AI infrastructure at scale.
The discussion will follow a layered approach, covering:

  • How AI-ready data centers are designed and powered
  • GPU servers and hardware choices shaping AI workloads
  • Orchestration platforms like Kubernetes and Slurm
  • Model decisions for training vs inference
  • How enterprises turn AI infrastructure into business outcomes

# Agenda

5:00 – 5:30 PM · Registration, and networking
5:45 – 6:00 PM · Introduction of Panelists & Opening Remarks
6:00 – 7:00 PM · Panel Discussion
7:00 - 8:00 PM: Fireside Chat - Evolution of Tech Careers in the AI Era — From LLMs to Vibe Coding
8:00 - Onwards - Post event Mixers

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