Who is not dreaming of a virtually unlimited token budget to spend?
Unfortunately, most credit cards have rather hard limits.
So why not make use of that gaming computer sitting at home and turn it into your own AI inference server?
In this post, we will configure a Linux machine with an NVIDIA GPU to run vLLM and expose an OpenAI compatible API. We will then connect Visual Studio Code and GitHub Copilot to it, allowing Copilot Agent to use a model running entirely on our own hardware.
There are a few interesting lessons along the way, particularly around GPU memory, context windows and why a model that technically fits into VRAM might still not be a particularly good fit.