Everything you need to start self-hosting an open LLM.
This is a dev post classified by Jev as Hosting & infra (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
Everything you need to start self-hosting an open LLM. Run it on your own hardware. No API keys. No per-token bill. Nothing leaves your machine. The full path with @vllm_project: batch inference in Python, an OpenAI-compatible API server in one command, and quantized models that cut an 8B from ~16GB of weights to a quarter of that while keeping 98-100% accuracy. Walkthrough by @cedricclyburn.
Posted by Red Hat AI (12.5k followers) 3 days ago · 120 likes · 6.1k views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
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