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

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

2024 was a transformative year for AMD Instinct™ accelerators. In the last 12 months we successfully delivered dozens of Instinct MI300X platforms to market across our cloud and OEM partners. We ramped numerous customers into volume production, including

ROCm 6.3 marks a significant milestone for the AMD open-source platform, introducing advanced tools and optimizations to elevate AI, ML, and HPC workloads on AMD Instinct GPU accelerators. ROCm 6.3 is engineered to empower a wide range of customers—from innovative AI startups to HPC-driven industries—by enhancing developer productivity

This blog delves into the standout features of this release, including seamless SGLang integration for accelerated AI inferencing, a re-engineered FlashAttention-2 for optimized AI training and inference, the introduction of multi-node Fast Fourier Transform (FFT) to revolutionize HPC workflows and more. Explore these exciting updates and more as ROCm 6.3 continues to drive innovation across industries.

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. 

See how AMD Ryzen™ AI 300 series-based PCs compare to the competition in llama.cpp based applications like LM Studio. 

AMD has just released the latest version of its open compute software, AMD ROCm™ 6.2.3 which supports Radeon GPUs on native Ubuntu® Linux® systems. 

Fine-tuning a large language model (LLM) is the process of increasing a model's performance for a specific task. This blog will introduce you methods and benefits on fine-tuning Llama model on AMD Radeon GPUs.