LLMs on homelab Kubernetes: llm-d, vLLM, HAMi and Kaito
GPU sharing, vLLM and cache-aware routing on hardware you own, and how much of the production AI inference stack you can learn at home.

I'm a Consulting Architect at Mirantis
I write about Kubernetes, virtualization and local AI Inference, and the parts of running infrastructure on your own hardware.
New here? Start with the Harvester guide.
GPU sharing, vLLM and cache-aware routing on hardware you own, and how much of the production AI inference stack you can learn at home.
Why a CLI or a background service cannot reach your LAN on macOS, what EHOSTUNREACH really means, and the signed .app wrapper that fixes it.
Deploy Kubernetes clusters on Harvester VMs with Rancher Turtles and Cluster API, from installing the provider to importing the cluster.
Give a Harvester VM an address on your LAN: configure a host network interface, add a VLAN, and attach the VM with bridged networking.
I work on Kubernetes and virtualization at Mirantis, and I run most of it at home before writing about it. More about me.