AA-AgentPerf debuts AMD MI355X results versus NVIDIA Blackwell
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- x.com
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In addition to our new DeepSeek V4.1 Flash results, we’re adding AMD’s MI355X to AA-AgentPerf for Kimi K3, GLM-5.2/5.3 and DeepSeek V4 Pro - comparing it to our latest results for NVIDIA systems on coding agent workloads. AA-AgentPerf is our agentic inference performance benchmark. It replays real agentic coding sessions, including prompt caching and tool-call delays, to give a realistic measure of inference performance in day-to-day agentic workloads. MI355X is AMD's flagship accelerator in the MI350 series, launched in June 2025 on its CDNA 4 architecture. It has the same 288GB of HBM3E at 8TB/s as NVIDIA's B300, around 10 PFLOPS of dense FP4 compute (vs. B300 at ~13.5 and B200 at ~9) and board power of up to 1,400W. All of our MI355X results use ROCm nightly and dev builds of vLLM and SGLang. We are debuting results for AMD's MI355X on a single 8-GPU node across all four featured AA-AgentPerf models. Results on our leaderboard are live and will evolve over time - we look forward to tracking software/serving improvements on AMD hardware. Initial results on MI355X: ➤ Its strongest result is on DeepSeek V4 Pro 0813, where MI355X serves ~15% to 40% more throughput per MW than…
Shows how AMD's MI355X compares with NVIDIA Blackwell on realistic coding- traffic, including up to 40% more throughput per MW on DeepSeek V4 Pro. Useful when choosing or pricing hardware.
- benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
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