Rust Inference Engine Core: 3k Lines, Minimal Tech Debt, Fast Startup
charles_irl · x · 2026-08-18
A developer shared progress on a Rust-based inference engine core (3k lines) handling scheduling, KV cache, prefix caching, and multimodal inputs. Assisted by Codex, they implemented support for DeepSeekV4 Flash, Gemma 3 27B, and GPT-OSS. While simple models require 2.5k lines of adapter code, complex architectures like DeepSeekV4 Flash can demand up to 7k lines. The approach shifts focus from configuring hundreds of CLI arguments to writing code for forward passes, resulting in crazy fast startup times due to the lack of technical debt and single-model focus.
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