AI solutions.

Advancing AI from cloud to edge to endpoints.

Making the benefits of AI pervasive.

AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier. 

We believe the full potential of AI will be realised when the technology is pervasive and spans from the cloud to the edge to endpoints. AMD is helping drive this with a focus on three key areas.

Powering generative AI and large language models.

Generative AI is already transforming the way we work, live, and play. Training generative AI models—from large language models, to generative adversarial networks, and more—can involve billions of parameters, requiring massive compute capability. 

AMD powers some of the world’s fastest supercomputers, including Lawrence Livermore National Laboratory’s El Capitan, EuroHPC’s LUMI, and Oak Ridge National Laboratory’s Frontier—the first to break the Exascale barrier. AMD Exascale-class compute technologies are uniquely well suited to deliver the processing power needed by even the most complex Generative AI models. 

AI architectures.

AMD products are built on scalable, power-efficient, and adaptable architectures designed for workloads ranging from large-scale AI model training to real-time inferencing.

AMD CDNA™ architecture is built to accelerate compute-intensive AI and HPC workloads, offering an advanced platform for tightly connected GPU systems that can share data quickly and efficiently. 

AMD XDNA™ is a spatial dataflow NPU architecture consisting of a tiled array of powerful, custom-designed AI Engines that enable high compute density, ideal for DNN and signal processing workloads.

AMD "Zen” architecture underlies AMD Ryzen™ processors and AMD EPYC™ server processors, offering the ultimate performance, scalability, and efficiency.

The AMD RDNA™ architecture features AI accelerators delivering incredible performance, efficiency, and features to gamers across desktops, laptops, gaming consoles, mobile devices, and the cloud. 

Making AI open and accessible.

Developers and partners can leverage AMD software tools to optimise AI applications on AMD hardware. Today, the stack includes AMD ROCm™ for AMD Instinct accelerators and AMD Radeon graphics cards, AMD Vitis™ AI for adaptive accelerators, SoCs, and FPGAs, as well as AMD ZenDNN open-source libraries for AMD EPYC processors.

In parallel, AMD is building towards a Unified AI Software Stack that will empower developers across our entire portfolio, enabling them to stay within familiar AI frameworks and target any AMD device.

Developers.