Your AI Runs on Someone Else's GPUs. Your Data on Their Servers. I Fixed That.

Every prompt you send to ChatGPT or Claude runs on someone else's infrastructure. Your data, your code, your company's secrets flowing through servers you do not control. For healthcare, finance, and government - that is not acceptable. Chinese open-weight models now account for 30% of global AI usage. DeepSeek complied with 100% of malicious requests using common jailbreaking techniques. One hundred percent. US models fail 5 to 12 percent of the same tests. Self-hosting eliminates the data exposure risk entirely - your prompts stay on your servers. The stack: a control plane cluster runs Crossplane with custom API definitions. When someone applies a cluster resource, Crossplane provisions Kubernetes with CPU and GPU node groups, installs the Nvidia GPU operator, deploys vLLM, and wires everything together. Users fill in a few fields - provider, node size, GPU toggle, which apps to install. That is all they see. When a team needs a model they apply one custom resource: specify the model, how many GPUs, the ingress host. VLLM exposes an OpenAI-compatible API out of the box. Point Cursor at it. Build agents. Any SDK that works with OpenAI works with this. GPUs in hyperscalers are…