AMD發佈vLLM-ATOM插件，旨在不改變現有工作流的前提下，充分挖掘硬件潛力，爲DeepSeek-R1、Kimi-K2等主流大語言模型推理顯著提速。vLLM本身是優化高併發場景吞吐量與顯存利用率的開源框架，專注請求調度和緩存管理，ATOM插件則進一步強化了這一能力。
AMD發佈vLLM-ATOM插件，專爲大語言模型部署優化，在不改變現有工作流下，顯著提升DeepSeek-R1、Kimi-K2等國產大模型在AMD硬件上的推理性能。該插件針對Instinct系列GPU定製，利用vLLM框架的高顯存利用率優勢，讓開發者以低學習成本實現技術遷移，獲得性能平滑升級。
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