Post by Arm

From host node to heterogeneous rack, AI infrastructure is evolving to support increasingly complex workloads. As AI inference becomes increasingly agentic, workloads extend beyond model execution to include retrieval, planning, tool use, code execution, reasoning, and more. Different stages of the workflow place different demands on compute, driving the shift from the traditional host node to heterogeneous racks and a more distributed role for CPUs across AI infrastructure. https://okt.to/lP23Bd

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