Calling all AI enthusiasts, data scientists, developers, and high-performance computing professionals! The latest release of AMD ROCm 6.2 is here, packed with innovative enhancements designed to elevate your computational tasks. 

Starting your AI image generation journey on an AMD AI PC is now easier than ever before. Here is how to run the latest and greatest Stable Diffusion models on AMD Ryzen(TM) AI processors and Radeon discrete graphics cards. 

Discover AMD AI solutions with day-0 support for Meta's Llama 3.1, delivering efficiency from cloud to edge

AMD has unveiled the latest release of its open software, AMD ROCm™ 6.1.3, marking the next step in its strategy to make ROCm software broadly available across its GPU portfolio, including AMD Radeon™ desktop GPUs. The new release gives developers broader support for Radeon GPUs to run ROCm AI workloads.

Written by: Hisham Chowdhury (AMD), Sonbol Yazdanbakhsh (AMD), Lucas Neves (AMD)

Introducing 4-bit quantization for Language Models (LM) on AMD Ryzen™ AI and Radeon™ platforms with DirectML

We are happy to announce the formal qualification of additional AMD RDNA™ 3 architecture-based GPUs and the addition of ONNX Runtime with AMD ROCm™ 6.0.

Empowering Developers: AMD and ONNX release Open-Source Toolchain, TurnkeyML, for agile model development and deployment. 

Ryzen AI Software is now widely available, empowering developers to build and deploy AI applications efficiently, and locally. With a growing pre-trained model zoo on Hugging Face and an easy single click installation process, developers can get started building their applications within minutes.

AMD is excited to kick off the Pervasive AI Developer Contest; a competition designed to spark innovation amongst AI developers.  Showcase your creativity and technical expertise on chosen AMD platforms and participate in one of three categories: Generative AI, Robotics AI, and PC AI.

AMD continues to give the AI community more solutions options with the AMD ROCm software and the support of now three high-end RDNA™ 3 architecture-based GPUs for Machine Learning development using PyTorch.