Architecting Modern AI Systems: Platforms, Agents, and Integration

Architecting Modern AI Systems: Platforms, Agents, and Integration

From MLOps.community by Demetrios

May 28, 2026 · 57 min

About this episode

The episode discusses the evolution of AI systems towards more autonomous architectures and the implications for platform design and agent interoperability.

BuzzHPC Roundtable episode: Architecting Modern AI Systems: Platforms, Agents, and Integration Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter MLOps GPU Guide: https://go.mlops.community/gpuguide Big shout-out to BuzzHPC for the collaboration! // Abstract As AI systems evolve into more autonomous, agent-driven architectures, the way we design platforms, tools, and infrastructure is rapidly changing. In this session with BuzzHPC, we explore the shifting boundary between platforms and tools, what developers expect platform providers to handle versus what they want to control and build themselves. We unpack what modern agentic stacks look like today, how teams are structuring them in production, and where these architectures are heading as systems become more complex and distributed. A key focus will also be on agent interoperability, how different agents communicate, coordinate, and operate within shared environments. Finally, we share insights and lessons from a recent AI hackathon delivered in partnership with Bell, Buzz, Mila, and KHP, highlighting how these concepts are being tested and applied by builders in…

People in this episode

Guest: Allen Roush

Topics covered

  • AI systems
  • agent-driven architectures
  • platform design
  • developer expectations
  • agent interoperability
  • real-world applications

Keywords

  • AI systems
  • autonomous architectures
  • platforms
  • tools
  • agent interoperability
  • hackathon
  • BuzzHPC

Mentioned in this episode

Organizations: BuzzHPC, Oracle, Intel, Bell, Mila, KHP

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