The latest articles on DEV Community by GaeaRuiW (@gaearuiw). https://dev.to/gaearuiw https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3962962%2F2ce668ac-4527-4f2b-a419-b01bd760fda8.png https://dev.to/gaearuiw en GaeaRuiW Tue, 02 Jun 2026 06:22:15 +0000 https://dev.to/gaearuiw/kaito-vs-kserve-vs-kube-llmops-which-kubernetes-llm-platform-should-you-choose-in-2026-5g3d https://dev.to/gaearuiw/kaito-vs-kserve-vs-kube-llmops-which-kubernetes-llm-platform-should-you-choose-in-2026-5g3d <h1> KAITO vs KServe vs kube-llmops </h1> <p>If you are running LLMs on Kubernetes in 2026, you have probably encountered three main options: <strong>KAITO</strong> (Microsoft/CNCF Sandbox), <strong>KServe</strong> (CNCF Incubating), and <strong>kube-llmops</strong>.</p> <h2> TL;DR Comparison </h2> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Feature</th> <th>kube-llmops</th> <th>KAITO</th> <th>KServe</th> </tr> </thead> <tbody> <tr> <td>AI Gateway</td> <td>Built-in (LiteLLM)</td> <td>No</td> <td>No</td> </tr> <tr> <td>LLM Tracing</td> <td>Langfuse v3</td> <td>No</td> <td>No</td> </tr> <tr> <td>Grafana Dashboards</td> <td>11 pre-built</td> <td>No</td> <td>No</td> </tr> <tr> <td>KEDA Autoscaling</td> <td>Yes</td> <td>No</td> <td>Partial</td> </tr> <tr> <td>SSO</td> <td>Keycloak OIDC</td> <td>No</td> <td>No</td> </tr> <tr> <td>RAG</td> <td>Dify + pgvector + TEI</td> <td>No</td> <td>No</td> </tr> <tr> <td>Fine-tuning</td> <td>LLaMA-Factory + Argo</td> <td>Basic</td> <td>No</td> </tr> <tr> <td>Cloud-Agnostic</td> <td>Yes</td> <td>Azure-only</td> <td>Yes</td> </tr> </tbody> </table></div> <p><strong>kube-llmops</strong> is the only platform that gives you a complete LLM operations stack in one Helm install: model serving (vLLM, llama.cpp), AI gateway, observability, RAG, fine-tuning, SSO, and autoscaling.</p> <p><a href="https://github.com/GaeaRuiW/kube-llmops" rel="noopener noreferrer">https://github.com/GaeaRuiW/kube-llmops</a></p> <p>Give it a star if you found this useful! ⭐</p> kubernetes llm vllm devops