Ammar-Alnagar/AI-Kernel-learning

A tutorial on modern GPU programming for machine learning systems

B200 Attention from Scratch: understand one of the hardest GPU kernels on the latest hardware

🍎 One kernel a day keeps high latency away. A hands-on CUDA learning path featuring a rich collection of kernels, from the basics to peak performance, seamlessly integrated as PyTorch C++ extensions.

how to optimize some algorithm in cuda.

A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.

Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming

GPU 性能与 AI Infra 学习项目：CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/ms-swift、PyTorch/DeepSpeed/ms-swift 训练、并行架构

Open source skill library for AI coding agents to write, optimize, and debug high performance compute kernels across CUDA, Triton, and quantized workloads.