Hacker News
- CUDA is the incumbent, but is it any good? https://www.modular.com/blog/democratizing-ai-compute-part-4-cuda-is-the-incumbent-but-is-it-any-good 1 comment
Linked pages
- DeepSeek's AI breakthrough bypasses Nvidia's industry-standard CUDA, uses assembly-like PTX programming instead | Tom's Hardware https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseeks-ai-breakthrough-bypasses-industry-standard-cuda-uses-assembly-like-ptx-programming-instead 441 comments
- xkcd: Compiling http://xkcd.com/303/ 177 comments
- Jim Keller criticizes Nvidia's CUDA, x86 — 'Cuda’s a swamp, not a moat. x86 was a swamp too' | Tom's Hardware https://www.tomshardware.com/tech-industry/artificial-intelligence/jim-keller-criticizes-nvidias-cuda-and-x86-cudas-a-swamp-not-a-moat-x86-was-a-swamp-too 134 comments
- LlamaIndex - Data Framework for LLM Applications https://www.llamaindex.ai/ 55 comments
- Jim Keller (engineer) - Wikipedia https://en.wikipedia.org/wiki/Jim_Keller_(engineer) 42 comments
- PTX ISA :: CUDA Toolkit Documentation https://docs.nvidia.com/cuda/parallel-thread-execution/index.html 4 comments
- https://www.wsj.com/tech/ai/ai-nvidia-apple-amd-jensen-huang-software-bb581f5a 2 comments
- GitHub - NVIDIA/cutlass: CUDA Templates for Linear Algebra Subroutines https://github.com/NVIDIA/cutlass 0 comments
- LangChain https://langchain.com/ 0 comments
- NVIDIA Tensor Core Programming - Lei Mao's Log Book https://leimao.github.io/blog/NVIDIA-Tensor-Core-Programming/ 0 comments
- Modular: Democratizing AI Compute, Part 3: How did CUDA succeed? https://www.modular.com/blog/democratizing-ai-compute-part-3-how-did-cuda-succeed 0 comments
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