Fujitsu

Headlines · 2

1. Oct 23
   Arm’s Agent CPU Evaluation Expands Beyond Token Throughput

   Arm has proposed an evaluation methodology that measures CPU performance in agentic AI workloads, including tool calls, task orchestration, reasoning support, sandboxing and end-to-end execution. Arm has explored the approach with Fujitsu, Meta and OpenAI, but Ravi Malhotra said it is a methodology rather than an industry standard and should not use uniform weights across agent scenarios. Signal65 research commissioned by Arm modeled Arm AGI CPU as delivering about 1.99 times the average rack-level performance of AMD EPYC 9755 under the tested power budget, although the results were modeled rather than measured in a complete production rack.

   InfoQ 中文 AI&大模型 · 🔥 0
2. Oct 19
   Arm claims AGI CPU gives nearly 2x AMD EPYC 9755 rack-level agentic performance

   Arm has published an assessment, conducted by Signal65 with Arm's cooperation, reporting that its AGI CPU averaged 1.99x the modelled rack-level performance of AMD's EPYC 9755 across seven agentic AI workloads, with individual results ranging from 1.43x to 3.19x. The rack figure derives partly from a rated-power density model in which a 24 kW rack holds 21 to 23 Arm servers versus 13 dual-socket EPYC 9755 systems, while at the chip level Arm averaged only about a 20% lead and trailed on MySQL and Milvus. Signal65 remotely observed the runs and reproduced the calculations, but did not perform an independent hardware rerun, and Arm acknowledged that testing on final production hardware is still outstanding.

   Tom’s Hardware · 🔥 0

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