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.

Artificial intelligence (AI) workloads have deservedly placed GPUs in the spotlight, but there’s a clutch player often overlooked: the host CPU. 

KEY TAKEAWAYS

• Your GPU needs a fast CPU—it’s the air traffic controller keeping AI inference running smoothly.
• High-frequency CPUs like AMD EPYC 9575F improve GPU efficiency by reducing latency in key AI tasks.
• Benchmarks show up to 10% faster inference times with AMD EPYC 9575F over Intel Xeon.
• Maximize AI ROI by choosing the right CPU for your GPUs!

Ask a typical IT professional today whether they're leveraging AI, and there's a good chance they'll say yes–after all, they have reputations to protect! Kidding aside, many will report that their teams may use Web-based tools like ChatGPT or even have internal chatbots that serve their employee base on their intranet, but for that not much AI is really being implemented at the infrastructure level.  

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, in collaboration with the ONNX Community and the Linux Foundation, has released an open-source tool to help developers explore and understand machine learning models. Digest is a powerful model analysis tool designed to help you extract valuable insights from your machine learning models. With Digest, you can easily organize, report on, and optimize your models, making your workflow more efficient and effective.  

AMD enhances Visual Language Models (VLMs) by optimizing the processing capabilities, making them faster and more accurate for variable applications.