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.

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.

The AMD Vitis™ AI platform 3.0 release offers upgraded capabilities for AI inference development. Read this blog to learn about the product upgrades and benefits of adopting the Vitis AI 3.0 platform. 

As a widely loved AI acceleration development platform, Vitis AI has ushered in a new release, which is now available on June 15th.

We expect AI to play a more critical role in different workloads and device platforms. With tremendous market demand from the data center to the edge, AMD Xilinx has focused on expanding and enhancing the functions of Vitis AI to provide faster AI acceleration. This article provides an overview of the new and enhanced features in the 2.5 release.

Vitis AI 2.0 is now available! As the most comprehensive software-based AI acceleration solution on Xilinx FPGAs and adaptive SoCs, Vitis AI continues to bring value and competitiveness to users’ AI products. With this release, the Vitis AI solution is easier to use and provides additional performance improvements at the edge and data center. This Webinar will introduce the new product features including models, software tools, deep learning processing units, and the latest performance information. 

Learn about Vitis™ AI 1.4, the powerful machine learning development platform for AI inference acceleration on Xilinx Adaptive Computing platforms.