Agentic AI demands a new infrastructure stack: AMD and Red Hat deliver

Agentic AI doesn’t just move AI forward, it flips the infrastructure built for traditional inference on its head. Agentic AI, systems that reason, plan, use tools, and execute multistep tasks autonomously, is rapidly moving from research into production. This shift is not just about more compute, it fundamentally changes how infrastructure must perform, scale, and be optimized for continuous, multistage reasoning workflows.But agents are fundamentally different workloads—they call models repeatedly, fan out across tools and data sources, and need to run continuously and cost-effectively.