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we launched the most comprehensive ai performance engineering repo in the world

we launched the most comprehensive ai performance engineering repo in the world now we'll be posting every single…

This is a AI post classified by Jev as AI infra & evals (a free resource), kept by the AI Radar because it carries real work, not commentary.

we launched the most comprehensive ai performance engineering repo in the world now we'll be posting every single resource this is Wafer's ai performance engineering series save this to keep up with the series. links in thread 🧵 part 3: "Intro to CUDA C++" from NVIDIA's CUDA Programming Guide. NVIDIA covers the execution model, memory movement, and correctness checks behind CUDA programs: - kernel launches, grid dimensions, and the organization of threads into blocks. - thread indexing and work assignment, including bounds checks for inputs that aren't multiples of the block size.

Posted by wafer (11.7k followers) 1 h ago · 45 likes · 3.1k views · view the original post on X. Kept by the AI Radar as AI infra & evals.

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