AMD ALERT🚨🚨: On Kimi K3 2.8T, AMD has even better profit margins per gigawatt compared to B300, GB200 NVL72, and B200. This is due to AMD's lower TCO and better performance, leading to better profit margins of 53.6% on Mi355X compared to 44.3% on GB200 NVL72. This is from our open-source Agentic Inference benchmark, AgentX.
Shoutout to @roaner & @EmadBarsoumPi 10x engineers for optimizing this 2.8T model!
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Why it matters
A large-model inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition →benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.Full definition → shows AMD's MI355X out-earning Nvidia's GB200 NVL72 on profit margin per gigawatt, a concrete data point for teams weighing AMD vs Nvidia for large-scale agentic inference deployments.
