The era of simple chatbots is ending. The era of Agentic AI, where autonomous systems can take action, is just beginning. But how do you manage the chaos of multiple agents, tools, and models at an enterprise scale? Join Red Hat CTO Chris Wright and Tushar Katarki as they explore the infrastructure required to support the next generation of AI.
They discuss the parallels between the microservices revolution and today’s AI shifts, deep dive into the Model Context Protocol (MCP), and explain why we need a standardized platform to handle safety, memory, and observability for agents.
Topics discussed:
0:00 Intro parallels between Microservices & Agentic AI
1:26 Tushar’s Journey: Infrastructure to AI
4:04 The Agent as a containerized application
7:07 Enterprise challenges: Probabilistic AI & tool calling
11:17 The platform: Llama Stack, MCP & core AI services
13:59 The concept of "Agent Mesh" and Identity
16:51 Observability: Token metrics, latency, and costs
21:23 The platform’s role: Consistency and hybrid cloud
Learn More:
Check out Red Hat AI: https://www.redhat.com/en/products/ai
Learn about Model Context Protocol (MCP): https://www.redhat.com/en/topics/ai/what-is-model-context-protocol-mcp
Why do we really need Llama Stack?: https://www.redhat.com/en/blog/llama-stack-and-case-open-run-anywhere-contract-agents
Follow us:
Chris Wright: https://www.linkedin.com/in/chris-wright-b733851/
Tushar Katarki: https://www.linkedin.com/in/katarki/
What is Technically Speaking? Technically Speaking taps into emerging technology trends with insights from leading experts across the globe and Red Hat CTO Chris Wright. The series blends deep-dive discussions, tech updates, and creative short-form content, solidifying Red Hat’s role as a pioneer in technology innovation and open source thought leadership.
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