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Welcome to the AMD AI blog, where innovation meets intelligence. Explore different topics covering the latest AI industry insights, AMD AI announcements, exciting new endeavors, and more!


AMD_AI
Staff
Staff

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

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AMD Instinct Accelerator and ROCm Software: 2024 Year in Review

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

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Ronak_Shah
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Staff

                                                                                                                Ronak_Shah_0-1732293880403.jpeg


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.

 

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AMD_AI
Staff
Staff

Amuse 2.2 Beta is now available for download. 

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AMD_AI
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Staff

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. 

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AMD_AI
Staff
Staff

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

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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. 

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AMD_AI
Staff
Staff

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.

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AMD_AI
Staff
Staff

Running large language models (LLMs) locally on AMD systems has become more accessible, thanks to Ollama. This guide will focus on the latest Llama 3.2 model, published by Meta on Sep 25th 2024, Meta's Llama 3.2 goes small and multimodal with 1B, 3B, 11B and 90B models. Here’s how you can run these models on various AMD hardware configurations and a step-by-step installation guide for Ollama on both Linux and Windows Operating Systems on Radeon GPUs. 

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jack_huynh
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Staff

Announcing the upcoming availability of Microsoft Copilot+ PC with the AMD Ryzen™ AI 300 series processor.

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