--- title: Open-weight AI on Kubernetes: A Developer’s Guide to... description: A practical guide to deploying open-weight AI models (Llama 3, Mistral, Gemma) on Kubernetes, comparing two approaches: vLLM as a direct high-performance... canonical: https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Open-weight AI on Kubernetes: A Developer’s Guide to vLLM vs. KubeAI | daily.dev og:description: A practical guide to deploying open-weight AI models (Llama 3, Mistral, Gemma) on Kubernetes, comparing two approaches: vLLM as a direct high-performance... og:url: https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh og:image: https://api.daily.dev/og/posts/hDxK8DDOH.png og:image:alt: Open-weight AI on Kubernetes: A Developer’s Guide to vLLM vs. KubeAI og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Open-weight AI on Kubernetes: A Developer’s Guide to vLLM vs. KubeAI **[SitePoint](https://daily.dev/sources/sitepoint)** · 18 min read · 0 upvotes · 0 comments ## Summary A practical guide to deploying open-weight AI models (Llama 3, Mistral, Gemma) on Kubernetes, comparing two approaches: vLLM as a direct high-performance inference engine versus KubeAI as a Kubernetes-native model management platform that can use vLLM as its backend. Covers full deployment manifests for both approaches on GKE, including GPU node pool configuration, secret management, PersistentVolumeClaims, PodDisruptionBudgets, scale-to-zero behavior, cold-start latency tradeoffs, and GKE-specific integrations like Workload Identity and internal load balancers. Includes a feature comparison table and a decision framework: use vLLM directly for one or two models requiring maximum throughput control; use KubeAI when managing a multi-model catalog with built-in scale-to-zero and less operational overhead. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Why vLLM is the best choice for AI inference today](https://daily.dev/posts/why-vllm-is-the-best-choice-for-ai-inference-today-7zxdzzpx7) · Red Hat Developer · 0 upvotes · 0 comments - [Running LLM Inference on Kubernetes: What It Actually Takes](https://daily.dev/posts/running-llm-inference-on-kubernetes-what-it-actually-takes-opl6iozrg) · Fairwinds Blog · 0 upvotes · 0 comments - [Untitled](https://daily.dev/posts/untitled-rbhrrn3k5) · SitePoint · 0 upvotes · 0 comments - [How to route external and local LLMs with Models-as-a-Service](https://daily.dev/posts/how-to-route-external-and-local-llms-with-models-as-a-service-ufwzx55fl) · Red Hat Developer · 0 upvotes · 0 comments --- Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-inference](https://daily.dev/tags/ai-inference), [#vllm](https://daily.dev/tags/vllm) [View this post on daily.dev](https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Open-weight AI on Kubernetes: A Developer’s Guide to vLLM vs. KubeAI","url":"https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh"},"datePublished":"2026-07-27T17:13:17.819Z","dateModified":"2026-07-27T17:13:40.837Z","description":"A practical guide to deploying open-weight AI models (Llama 3, Mistral, Gemma) on Kubernetes, comparing two approaches: vLLM as a direct high-performance...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/6520e9621adc5fa909650af2d1901e77?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/6520e9621adc5fa909650af2d1901e77?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"SitePoint","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"SitePoint","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/sitepoint","url":"https://daily.dev/sources/sitepoint"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/open-weight-ai-on-kubernetes-a-developer-s-guide-to-vllm-vs-kubeai-hdxk8ddoh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"kubernetes,ai-inference,vllm","timeRequired":"PT18M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"SitePoint","item":"https://daily.dev/sources/sitepoint"},{"@type":"ListItem","position":3,"name":"Open-weight AI on Kubernetes: A Developer’s Guide to vLLM vs. KubeAI"}]} ```