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.
- Continuous Nvidia CUDA Profiling in Production (www.polarsignals.com)
- VectorWare – from creators of `rust-GPU` and `rust-CUDA` (www.vectorware.com)
- New Era for CUDA Development (old.reddit.com)
- CUDA Programming Is Cooked (old.reddit.com)
- Get Ready for Clojure, GPU, and AI in 2026 with CUDA 13.0 (dragan.rocks)
- I made CUDA So tough (old.reddit.com)
- We built a CUDA emulator that profiles GPU code with zero hardware (www.rightnowai.co)
- I Built Claude Code for CUDA Using Python (twitter.com)
- A hitchhiker's guide to CUDA programming (www.seanzhang.me)
- Red Hat to Distribute Nvidia CUDA Across RHEL, Red Hat AI and OpenShift (www.phoronix.com)
- Porting CUDA FFT to Mojo: Achieving Bit-Exact Precision (www.msuiche.com)
- What about OpenCL and CUDA C++ alternatives? (www.modular.com)
- Parrot – fused array operations using CUDA/Thrust (github.com)
- CUDA Docs for Humans (modal.com)
- CUDA Error Handling: A Definitive Guide (parallelprogrammer.substack.com)
- Matrix Multiplication in CUDA (kharshit.github.io)
- Cluda: Gallium3D API Implemented Atop Nvidia CUDA Driver API (gitlab.freedesktop.org)
- Show HN: I hate paying for GPUs while developing – this is how I solved it (adithyask.medium.com)
- Show HN: Unstable Singularity Detector (github.com)
- European.cloud: A Curated Directory of EU-Based Cloud Providers (european.cloud)
- delightful-commons – curated lists of free software (codeberg.org)