vLLM details Kimi K3 on AMD MI355X matching NVIDIA HGX B300 per-GPU throughput
vLLM Blog · rss · 2026-10-16
The vLLM blog breaks down scaling Kimi K3 inference on AMD Instinct MI355X, matching NVIDIA HGX B300 per-GPU throughput on AgentX, covering bottleneck analysis and the key engineering decisions behind the speedups — a notable proof point for AMD's AI inference stack.
More from Infra
- Cadence announces sovereign AI cloud for European chip designers — karlfreund · 2026-10-23
- SGLang Deep-Dive Blog Series Breaks Down KV Cache, Posts up to 15.5x Throughput Gains — BanghuaZ · 2026-10-23
- DynaLM: Open-Source CPU-First LLM Inference Engine Seeks Feedback — Unlikely_Safety_7456 · 2026-10-23
- Capital Is Now the AI Buildout Bottleneck, Says Analyst Citing Jensen Huang — JOBhakdi · 2026-10-23
- Cerebras explains how it deploys trillion-parameter models on wafer-scale chips — bookwormengr · 2026-10-23
- IFM open-sources RL360, the agentic RL infra behind K2 Horizon's training — rupspace · 2026-10-23