•1 min read•from Towards Data Science
How To Build Your Own LLM Runtime From Scratch
If you have ever wanted to actually build an LLM inference runtime yourself — pack your own weights, own every barrier, capture your own CUDA graphs — this is what that journey looks like on an H100. A step-by-step tour of a small runtime called annotated-llm-runtime, and the three bugs that produced most of the annotations.
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Tagged with
#LLM
#LLM Runtime
#Inference
#CUDA Graphs
#H100
#Weights
#Annotations
#Bugs
#Runtime
#CUDA
#Deep Learning
#Machine Learning
#Data Science
#Towards Data Science
#Step-by-step
#Architecture
#Optimization
#Performance
#Deployment
#Framework