I am pleased to share that today we welcome the talented team from Mipsology, a leader in AI software and long-standing AMD partner based in Palaiseau, France, to the AMD family.

Did you know you can enable Stable Diffusion with Microsoft Olive under Automatic1111(Xformer) to get a significant speedup via Microsoft DirectML on Windows? Check out this "How-to" guide on instructions to set up and use with Radeon RX Graphics.

AMD knows a lot about supercomputing. In fact, AMD powered supercomputers hold 2 of the top 5 spots on the Top500 list – including the first system to bring the world into the era of exascale (a computer capable of performing a quintillion or 10^18 floating point operations per second), holding an HPL (High Performance LINPACK) score that is nearly triple that of ­­­the second-place listing. Though, fewer know how much work it is to get to the point of flexing a system’s computing muscle to a worldwide stage. There is a ton of work that happens behind the scenes before any of these massive systems can “open its doors” to production workloads. One of the main milestones for any supercomputer is called acceptance. Let’s break down what leads a supercomputer to be accepted and find out what that term really means. Then, learn how AMD contributes to building the most performant systems in the world and some of the science they enable.

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.

AMD is committed to industry standard benchmarks – fully transparent, peer-reviewed or independently audited, verifiable, and full disclosure reports to reproduce our results. We are proud of our 300+ world records across a diverse set of important workload areas.

Boost your performance by an average of 2x in Microsoft Olive Optimized DirectML Stable Diffusion 1.5 (1)

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.

We are happy to announce the new availability of the TensorFlow-ZenDNN plug-in for TensorFlow v2.12 and above, improving the accessibility of ZenDNN optimizations for the community via framework upstreaming. Learn more in this blog.

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.