AMD Ryzen Master Utility for Overclocking Control(amd.com)

42 points by doener 2 years ago | 15 comments

You can't make an open source HDMI 2.1 driver(arstechnica.com)

209 points by Thomashuet 2 years ago | 105 comments

AMD 8000G APUs launch Jan 31, $329 8700G competes with desktop GTX1650 in gaming(videocardz.com)

36 points by nateb2022 2 years ago | 33 comments

Ryzen 8000G review: An integrated GPU that can beat a graphics card, for a price(arstechnica.com)

83 points by kristianp 2 years ago | 71 comments

Attention Decode on AMD MI450 GPUs: A Gluon Kernel Optimization Guide(rocm.blogs.amd.com)

61 points by matt_d 3 months ago | 6 comments

AMD ROCm Going Open-Source: Will Include Software and Hardware Documentation(wccftech.com)

57 points by ksec 2 years ago | 14 comments

AMD may get across the CUDA moat(hpcwire.com)

498 points by danzheng 3 years ago | 266 comments

HPCwire article by Doug Eadline discussing how AMD's Instinct GPUs and software stack might overcome Nvidia's CUDA software lock-in for GenAI workloads.

Ollama now supports AMD graphics cards(ollama.com)

578 points by tosh 2 years ago | 194 comments

Ollama blog post from March 14, 2024 announcing preview support for running models on AMD graphics cards.

BarraCUDA Open-source CUDA compiler targeting AMD GPUs(github.com)

428 points by rurban 8 months ago | 177 comments

GitHub repository for BarraCUDA, an open-source CUDA compiler written in C99 that compiles .cu files to AMD GFX11 GPU machine code.

CEO fired developers to make room for AI. Developers create open source AI CEO(github.com)

852 points by GrumpySciGuy 2 months ago | 585 comments

GitHub repository for OpenExecutive, an open source AI virtual executive team built from 8 specialist Claude agents using FastAPI and Next.js.

Nvidia to buy assets from Groq for $20B cash(cnbc.com)

613 points by nickrubin 10 months ago | 349 comments

CNBC exclusive reporting that Nvidia is acquiring AI chip startup Groq for about $20 billion, its largest acquisition on record.

GPUs Go Brrr(hazyresearch.stanford.edu)

1056 points by nmstoker 2 years ago | 243 comments

Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.