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 platfor...
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.
I’m excited to share that today, AMD has completed the acquisition of Nod.ai- further expanding our open-source AI software capabilities. We are thrilled to welcome Nod.ai’s talented team of AI software experts to the AMD Artificial Intelligence Group (AIG).
Turn your PC or workstation into a Machine Learning development platform with AMD Radeon GPUs
Researchers and developers working with Machine Learning (ML) models and algorithms using PyTorch can now use AMD ROCm 5.7 on Ubuntu® Linux® to tap into the parallel computing power of the Radeon™ RX 7900 XTX and the Radeon™ PRO W7900 graphics cards which are based on the AMD RDNA™ 3 GPU architecture.
Over the last few years, AI has moved from the realms of science fiction to being deployed in a range of disparate systems and software applications. In many cases, these applications live in the cloud or run best on large-scale computing systems. AMD's goal with RyzenTM AI and the AMD XDNA™ architecture is to expand access to AI and AI software development by bringing advanced AI processing to local PCs.
AI is one of the most transformative technologies to debut in the past 40 years, but taking full advantage of its capabilities requires more than just the latest processor or graphics card. Previous major shifts in computing, like the adoption of 64-bit software and the introduction of 3D-accelerated graphics in the late 1990s, required significant software support as well as sophisticated new hardware capabilities. Today, AMD and Microsoft are stepping up to this challenge, working together to create the building blocks developers and consumers will need to take full advantage of AI both today and in the future.
At AMD we believe the future of AI will be pervasive, positively disrupting virtually every industry and improving the products and services we use daily. Learn more about our approach to AI and our newly formed AI Group.
Any attempt to predict the future of mobile PC computing must first grapple with how much things have changed in just the past few years. The market AMD faces in 2023 is substantially different compared to just three years ago. The pandemic and associated increase in working from home drove enormous growth in laptop sales. PC sales soared.