We Got Claude to Build CUDA Kernels and teach open models!

From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

We Got Claude to Fine-Tune an Open Source LLM

Custom Kernels for All from Codex and Claude

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels

arXiv:2607. 24762v1 Announce Type: new Abstract: Machine learning models are increasingly embedded in everyday software, and most of their runtime is spent in a small set of compute kernels such as matrix multiplication, convolution, and normalization.

Bringing open AI models to the frontier

Why we're building Mistral AI.

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.