As the name implies, the AMD Ryzen™ AI Max PRO Series processor sits at the top of AMD’s mobile product stack. Formally announced at CES 2025, the AMD Ryzen™ AI Max PRO Series processors (codenamed "Strix Halo"), was one of the breakout stars of the show -- and for good reason.

The AMD Ryzen™ AI MAX+ 395 processor delivers breakthrough AI performance in a thin and light form factor in consumer AI applications like LM Studio.

AMD has commissioned IDC to conduct a global survey to better understand the AI PC market and to make the benefits of that understanding more widely available to you.

NexaQuants can recover reasoning capability loss for DeepSeek R1 Distills observed at Q4 quantization. 

AI PCs have evolved rapidly in the two years since AMD introduced the first x86 AI PC CPUs. In a new report, Forrester argues that 2025 will be an important year for AI PC adoption as system capabilities expand and software support improves. 

You can try out the DeepSeek R1 distilled models on your AMD Ryzen™ AI processor or Radeon™ graphics card in just a few short steps!

AMD is excited to release one-step diffusion models that demonstrate the readiness of AMD Instinct™ MI250 accelerators for model training and further research. The models are designed to provide performance comparable to traditional full-step diffusion models while maintaining the efficiency needed for training on data center systems or deployment on edge devices, such as AI-enabled PCs and laptops.

 Full technical blog AMD Nitro Diffusion: One-Step Text-to-Image Generation Models

Amuse 2.2 Beta is now available for download. 

A step-by-step guide on how to run Stable Diffusion 3.5 Large, Stable Diffusion 3.5 Large Turbo or Stable Diffusion 3.5 Medium on AMD Radeon™ Graphics Cards and Ryzen™ AI 300 Series Processors. 

In recent years, the rapid development of artificial intelligence technology, especially the progress in large language models (LLMs), has garnered significant attention and discussion. From the emergence of ChatGPT to subsequent models like GPT-4 and Llama, these language models have demonstrated remarkable capabilities in natural language processing, generation, understanding and reasoning. Continuing AMD tradition of open-sourcing models and code to help the community advance together, we are excited to release our first series of fully open 1 billion parameter language models, AMD OLMo.

To dive deeper into the three stages of training, and AMD OLMo model results, please reference the full article here: Introducing the First AMD 1B Language Models: AMD OLMo