India, July 2 -- The Role of CPUs in agentic AI is becoming increasingly important as enterprises move beyond traditional AI deployments. While AI infrastructure discussions often focus on GPUs running large language models, real-world AI systems depend on far more than model execution. Agentic AI introduces complex workflows where systems interpret requests, retrieve information, apply policies, execute tools, run sandbox environments, and verify outcomes before delivering results. This shift means organisations must design infrastructure around entire workflows instead of a single compute-intensive task.

Unlike conventional AI applications, agentic AI combines multiple workloads, each with unique infrastructure requirements. Some stage...