Hackernews posts about CUDA
CUDA is a parallel computing platform and programming model developed by NVIDIA that allows developers to leverage the processing power of graphics processing units (GPUs) for general-purpose computation.
- We got Claude to teach open models how to write CUDA kernels (huggingface.co)
- Show HN: A Black Hole Simulator in CUDA C++ (github.com)
- Python All the Way Down: Speed-of-Light CUDA Without Leaving Python (www.nvidia.com)
- We got Claude to teach open models how to write CUDA kernels (huggingface.co)
- Cornell Virtual Workshop: Introduction to CUDA (cvw.cac.cornell.edu)
- IterX: AI can optimize code reated to infrastructure, CUDA, DBs, and AI/ML Ops (iterx.deep-reinforce.com)
- Triton CUDA Tile IR Back End (github.com)
- Show HN: Autonomous recovery for distributed training jobs (docs.tensorpool.dev)
- Show HN: Optimize_anything: A Universal API for Optimizing Any Text Parameter (gepa-ai.github.io)
- Show HN: Qwen 3 TTS ported to Rust (github.com)
- Show HN: We Love AI Jobs – AI jobs for people who don't write Python (weloveaijobs.com)
- Show HN: Nvshmem from Scratch – RDMA, GPUDirect, and GPU Networking Demystified (cppcheatsheet.com)