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Beyond native Kubernetes scheduling: why Volcano is the missing piece in your AI infrastructure

Sagar Parmar

This article explains why the default Kubernetes scheduler struggles with AI training jobs, and how Volcano adds gang scheduling, queues and GPU topology awareness on top of it.

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Building Platforms for AI Agents
Building Platforms for AI Agents

Non-deterministic agents pose specific challenges for platform teams in observability, state management, governance, and trust.

Mauricio (Salaboy) Salatino explains why agentic applications behave like distributed multi-agent systems. His test assigned agents to take an order, cook the pizza, deliver it, and charge the customer. One order crossed 15 containers and produced 200 traces.

In this interview:

  • Why agent frameworks can recreate monolith scaling and resource contention
  • How OpenTelemetry data can measure agent behavior and trust over time
  • Why narrowly scoped agents are safer than agents that follow long sequences
  • How the platform can become the learning layer that feeds better context back to LLMs

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