Right now, the tech world is awash in discussion of AI. Huge data center chips with terabytes of bandwidth and multi-thousand-dollar price tags share the space with diminutive Internet of Things products designed for ultra-low power processing. The news cycle serves up an endless discussion of artificial intelligence, but many of these discussions don't explain the difference between platforms and capabilities. It's all well and good to say AMD has built an "integrated AI engine," but what does that actually mean and why should you care? What's the advantage to you?

The launch of Ryzen AI was a first for x86 processors and an investment in the future of computing, but why integrate an AI engine in the first place?

We live in an age of rapid technological advancement. Machine learning has become a term that has permeated every facet of our lives. From the personalized recommendations suggested to you when you sit down to stream a movie, to self-driving cars navigating our streets, machine learning is what makes these innovations possible. But what exactly is machine learning, and how is it transforming the world around us?

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.

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)