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What It Takes to Run Multi-Agent Systems

MLOps.community via YouTube

Overview

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Explore the infrastructure requirements for deploying multi-agent AI systems at scale in this 19-minute conference talk. Discover how the evolution from passive AI assistants to autonomous intelligent agents demands new approaches to infrastructure design, including low-latency environments, scalable architectures, and secure systems that enable real-time coordination between multiple agents. Learn about the limitations of traditional cloud setups when handling dynamic workloads and continuous learning requirements of agentic AI. Examine hybrid edge-cloud strategies and data-local compute solutions that bring intelligence closer to where data resides and actions occur. Understand the technical blueprint necessary for building robust foundations that support the next generation of collaborative, reasoning, and planning-capable AI agents, with insights from HP's product leadership perspective on making enterprise AI more scalable, secure, and cost-effective.

Syllabus

What It Takes to Run Multi-Agent Systems

Taught by

MLOps.community

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