How to Evaluate CPU Performance for Agentic AI
The Next Platform, Thursday, October 29th, 2026
An Arm-sponsored feature outlines how to evaluate CPU performance for agentic AI at the core, system and rack levels.
This sponsored feature in The Next Platform, backed by Arm, argues that CPUs are regaining importance as agentic AI grows, citing a forecast of CPU market growth from 26 billion dollars in 2025 to 246 billion by about 2030.
Arm recommends evaluating CPUs at core, system, and rack levels, balancing single-thread latency against core scaling, memory bandwidth, and sustained performance under concurrent load.
It promotes combining component benchmarks such as InferenceX and TPCx-AI with end-to-end agentic task measurements, and emphasizes tasks per rack and energy per task.
It also cites an Arm-commissioned evaluation reporting about 2X performance per rack for its AGI CPU versus the AMD EPYC 9755.