本文解释了在Kubernetes中用于托管大语言模型的GPU时间切片概念。它详细介绍了多个Pod如何共享单个GPU，并讨论了实际部署的局限性和注意事项。 AI
影响 解释了在Kubernetes中为大模型部署优化GPU利用率的方法。
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Kubernetes GPU时间切片用于大模型托管详解
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【大模型托管系列｜K8s】什么是GPU时间切片？
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@izzysde/llm-hosting-%E7%B3%BB%E5%88%97-k8s-gpu-time-slicing-%E6%98%AF%E4%BB%80%E9%BA%BC-acc9a787831d?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/2600/1*GM0CFi0rbqMzq…