Introducing AA-AgentPerf - the hardware benchmark for the agent era.

Key details： ➤ Real agent workloads， not synthetic queries： we've captured real coding agent trajectories where our agents used up to 200 turns and worked with sequence lengths >100K tokens ➤ Production optimizations allowed： KV cache reuse， disaggregated prefill/decode， speculative decoding - we're allowing the optimizations that labs and inference providers are serving in production so that we can capture what real deployments should look like ➤ Measures what developers need to know： Max concurrent users at each target output speed， expressed per accelerator， per kW TDP， per $/hr， and per rack ➤ Built for every kind of scale： designed to measure systems from a single accelerator up to a full rack， and to fairly evaluate every architecture from DRAM-only designs to SRAM-only designs and everything in between ➤ Live now： we're announcing AA-AgentPerf today and opening submissions of configurations for benchmarking effective immediately. The models supported at launch are gpt-oss-120b and DeepSeek V3.2. We'll be publishing results on a rolling basis.