Announcement
Resin offers reusable building blocks for LLM inference engines
The developer says its Rust core handles scheduling and caching, leaving model-specific forward passes and kernels to be written.
TLDR
Resin’s developer says the library pairs a reusable Rust core with model-specific forward passes and kernels to build standalone engines. They report a DeepSeek-V4.1-Flash engine running within 5–10% of DeepInfer and a Codex-built GLM-5.3-Flash engine reaching up to 60,000 input and 16,000 output tokens per second on B200 (EP4). The project’s README warns that Resin is not production-quality software.
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