Top Tools for Serving Open-Source Models on Kubernetes

This story was originally published on HackerNoon at: https://hackernoon.com/top-tools-for-serving-open-source-models-on-kubernetes. Explore the best open-source tools for serving LLMs on Kubernetes, from vLLM and SGLang to KServe, llm-d, NVIDIA Dynamo, SIE, and GPU autoscaling. Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #kubernetes, #llm-serving, #open-source-ai, #vllm, #sglang-deployment, #nvidia-dynamo, #gpu-inference, #good-company, and more. This story was written by: @merry-n-proprietary. Learn more about this writer by checking @merry-n-proprietary's about page, and for more stories, please visit hackernoon.com. Choosing the right Kubernetes serving stack depends on your workload. Use vLLM or SGLang for LLM inference, KServe, llm-d, or NVIDIA Dynamo for serving platforms, and KEDA or Knative for autoscaling. For fleets of small models, SIE simplifies deployment, routing, and GPU utilization. Match each layer to your workload instead of trying to find one tool that does everything.