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18-19 June
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Please note: This schedule is automatically displayed in India Standard Time (UTC+5:30)To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Friday June 19, 2026 4:10pm - 4:40pm IST
Your platform team is trying to integrate AI workloads, your developers want to deploy agents and your leadership expects 10x efficiency with AI but when you dig into the specifics, the terminology becomes a maze: AI Agents, MCP Servers, and Dynamic Resource Allocation (DRA). Where do you even start?

This session is centered around what problem each of these solve. In this hands-on 101 guide I will start by demystifying how AI agents operate on Kubernetes—how they interact with workloads, the role of MCP servers in enabling multi-agent coordination, and the fundamentals of DRA for intelligent resource management. Then, I will bring it all together with a live demo showing how AI agents can dynamically tune DRA drivers to optimize scheduling and resource usage in real time. Whether you’re an engineer, researcher, or just Kubernetes-curious, this session will equip you with the foundational knowledge and confidence to start experimenting with agentic and adaptive systems on Kubernetes.
Speakers
avatar for Rajas Kakodkar

Rajas Kakodkar

Software Engineer, Broadcom
Rajas is a staff software engineer at Broadcom, where he focuses on low level functions of Kubernetes nodes. He is a tech lead of the CNCF Technical Advisory Group, Workload Foundation and a Kubernetes contributor. He has been co-chairing Cloud Native AI Day, a co-located event at... Read More →
Friday June 19, 2026 4:10pm - 4:40pm IST
Jasmine 2 (Level 3)
  AI + ML

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