vLLM is originally marketed as paged attention, but in hindsight, separating the web server and GPU process, continuous batching, kv caching / chunking, and a huge model library including low precision mattered more.
I wonder how much it would cost to vibe code the whole thing from scatch?
I wonder how much better models need to get before such a thing wouldn't look like code vomit?
I've been working on a fresh, AI assisted port of DiffusionGemma from scratch and it takes a significant amount of time to deslop. I've spend a nonzero amount of time on refactoring and comment-vomit cleanup.
https://github.com/mmastrac/diffgemma