From AI Demo to Production Systems You Can Trust

Episode notes

Most AI strategies look good in a demo. The real challenge is getting them to run at scale. Recorded live at NVIDIA GTC 2026, this episode with Ragu Chakravarthi from Core42 and Kraig Ecker from WWT explores what it actually takes to move from AI pilots to production systems. They discuss sovereign AI as critical infrastructure, what control really means across data and operations, and why trust has to be built into every layer. From governance and observability to regulated environments, this is what it takes to run AI in the real world. The conversation also looks ahead to agentic AI, rising token demand, and the growing need for traceability and access control. If you are working to operationalize AI at scale, this episode breaks down what most teams underestimate. Support for this episode provided by: Forescout More about this week's guests: Ragu Chakravarthi is Chief Technology and Product Officer at Core42, leading AI infrastructure, platforms, and operations. He oversees large-scale AI cloud deployments across NVIDIA, AMD, and Cerebras, and has driven innovations like Compass and JAIS.

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