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.

Did you know that you can build your own coding Copilot just using the AMD Radeon graphic card locally? This blog will share with you how to build your personal coding Copilot with Radeon graphic card, Continue, and LM Studio plus Llama3.

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

Visual computing has transformed how we work, experiment, share ideas, and engage the world. New technologies are changing the game for modern workforces—opening up valuable opportunities in business, science, and technology. But many businesses are settl

AMD is advancing AI with an open ecosystem through its open-source software ROCm^TM, which is designed for GPUs, with a collection of drivers, software tools, libraries and APIs that enable GPU programming with ease.

AMD is empowering a new era in media and entertainment with our latest professional graphics cards. AMD Radeon™ PRO is the ideal solution to accelerate your productivity and creativity.  

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.

Artificial intelligence has enjoyed a meteoric rise in popularity, from science fiction to real-world use within just a few years. But how does AI work, behind the buzzwords? If you are confused about how terms like “artificial intelligence,” “deep learning,” and “neural net” relate to each other or want to better understand what sets generative AI apart from other types of AI, you’ve come to the right place.

AMD, through its powerful GPU computing platforms like AMD Instinct™ accelerators, AMD Radeon™ GPUs, and AMD ROCm™ software, offers developers and the AI community alternative solutions for AI training and inferencing. Meanwhile, with the establishment of an open AI software ecosystem, AMD allows more partners to participate in contributing variable AI acceleration solutions, particularly for large AI models on AMD GPU platforms.

Microsoft and AMD continue to collaborate enabling and accelerating AI workloads across AMD GPUs on Windows platforms. Now we are happy to share that with ‘Automatic1111 DirectML extension’ preview from Microsoft, you can run Stable Diffusion 1.5 with base Automatic1111 with similar upside across AMD GPUs mentioned in our previous post