How To Build Your Own LLM Runtime From Scratch

Short summary

A detailed walkthrough of building a custom LLM inference runtime from scratch on an NVIDIA H100 GPU, covering weight packing, CUDA graph capture, and debugging. The author shares three key bugs encountered during development of the annotated-llm-runtime project. Aimed at engineers who want full control over their inference stack.

• •Step-by-step guide to building a custom LLM inference runtime on H100
• •Covers weight packing, CUDA graph capture, and low-level GPU optimization
• •Shares three significant bugs discovered during development with annotations

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