
Advancing AI
Discover our end-to-end AI infrastructure products, solutions, and ecosystem.
Advancing AI from Cloud to Edge to Endpoints
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 realized 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.
Delivering a broad portfolio of high performance and adaptive hardware and software solutions that make AI possible
Enabling an open, proven, and ready software strategy and co-innovating with partners across the open ecosystem
Right-sizing AI solutions to fit the use and capabilities of the device and simplifying complex workloads into compelling user experiences
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.1 AMD Exascale-class compute technologies are uniquely well suited to deliver the processing power needed by even the most complex Generative AI models.
With the opportunity of AI comes the challenge of keeping the technology focused on positive outcomes: namely, helping solve some of the world's most vexing issues. AMD is committed to working with industry to innovate and deploy AI in a responsible manner.
Discover how AI solutions powered by AMD are helping drive advanced research.
AMD Instinct is the accelerator of choice for some of the world’s fastest and greenest supercomputers, including Lawrence Livermore National Laboratory’s El Capitan system.1,2 See how this two-Exascale supercomputer will use AI to run first-of-its-kind simulations to advance scientific research.
Learn how AI solutions powered by AMD are accelerating the development of autonomous vehicles and intelligent transportation systems.
The AMD Zynq™ UltraScale+™ MPSoC is powering Subaru's vision-based advanced driver-assistance system (ADAS), EyeSight. The EyeSight system provides advanced features including adaptive cruise control, lane-keep assist and pre-collision braking, putting best-in-class safety technology into the hands of consumers.
Discover how AI solutions powered by AMD are helping enhance drug formulation, molecular dynamics, cancer research, and more. Read eBook
Watch how EuroHPC’s LUMI supercomputer leverages AMD EPYC™ processors and AMD Instinct accelerators to train large-scale AI models that help medical professionals detect and diagnose cancer at earlier stages.
See how AI solutions powered by AMD are enabling industrial use cases ranging from food inspection, to real-time office space management, to workflow automation with AI-driven robotics.
Kakao i Cloud is leveraging AMD technology to quickly respond to cutting-edge AI innovations. See how a broad portfolio of AMD products is helping the company meet its service standards from the edge all the way to the cloud data center.
Resilient economies require robust AI ecosystems.
AMD designs full-stack AI solutions and deploys through open and diverse ecosystems to address the widest set of customer needs.
Discover how AI solutions powered by AMD are advancing the telecommunications industry.
KT Cloud is conducting large AI model training on AMD Instinct MI250 accelerators, which deliver leading-edge performance, memory capacity, and cost efficiency.
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.
Developers and partners can leverage AMD software tools to optimize 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.