AMD发布vLLM-ATOM插件，旨在不改变现有工作流的前提下，充分挖掘硬件潜力，为DeepSeek-R1、Kimi-K2等主流大语言模型推理显著提速。vLLM本身是优化高并发场景吞吐量与显存利用率的开源框架，专注请求调度和缓存管理，ATOM插件则进一步强化了这一能力。
AMD发布vLLM-ATOM插件，专为大语言模型部署优化，在不改变现有工作流下，显著提升DeepSeek-R1、Kimi-K2等国产大模型在AMD硬件上的推理性能。该插件针对Instinct系列GPU定制，利用vLLM框架的高显存利用率优势，让开发者以低学习成本实现技术迁移，获得性能平滑升级。
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