Community Optimizes Kimi Inference on AMD MI355X to Beat NVIDIA B200
a1zhang · x · 2026-07-30
The GPUMODE community, working closely with AMD, has successfully optimized Kimi inference on the AMD MI355X to run faster than NVIDIA's B200 across all settings.
The winning team, RadeonFlow, demonstrated the potential of open-source communities in cross-platform inference optimization.
More from Infra
- Trading 2 RTX 5090s for 4 R9700s: does doubled VRAM pay off? — poofph · 2026-10-16
- Running PolyStrata + Cline coding agent on a $0-fancy laptop at ~90 tok/s — rpwoerk · 2026-10-16
- TensorFold 1.0.12 runs 120B vision model on 1-2 DGX Sparks, adds Mac image input — HankYeomans · 2026-10-16
- vLLM brings frontier model local deployment to NVIDIA RTX Spark PCs — vllm_project · 2026-10-16
- NVIDIA signals $2B in new European AI deals at GTC Berlin, totaling ~$10B in a year — CurieuxExplorer · 2026-10-16
- Making Your Data Ready for Agentic AI: trust first, then semantics, then writes — bibryam · 2026-10-16