AMD Radeon AI

The Next Frontier of AI

With AMD Radeon™, users can harness the power of on-device AI processing to unlock new experiences and gain access to personalized and fast AI performance.

AI Accelerators

AMD RDNA™ 4 architecture delivers over 4X more AI compute than the previous generation AMD RDNA 3 architecture. Featuring 2 AI Accelerators per compute unit, support for new data types, and Sparsity – Radeon RX 9000 Series Graphics cards deliver up to 1557 TOPs of performance.

Large VRAM

Radeon RX 9000 Series GPUs feature up to 16GB of GDDR6 to run large AI models. The Radeon RX 9070 with 16GB of video memory offers a great entry-point to AI acceleration on AMD Radeon Graphics.

Wide Compatibility

Radeon RX Graphics cards are programmable to support the major ML frameworks including Microsoft DirectML, and select Radeon RX Graphics cards also support the AMD ROCm™* open software platform.

Applications

Today, we see applications emerging that use GPU hardware acceleration for AI workloads — including general AI compute, gaming/streaming, content creation and advanced machine learning model development. With the latest updates to the AMD RDNA 4 architecture, Radeon 9000 Series graphics cards are designed to accelerate AI in several use cases. 

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Gaming & Streaming

Elevate the streaming experience using AI-accelerated quality enhancements in the media engine and intelligent background noise removal through AMD Noise Suppression.

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AI and AMD Software

Experience all new AI-powered features such as AMD Chat, right within AMD Software.

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Generative AI

Radeon™ graphics are ready to handle the most popular generative AI models.

Asian man using AMD laptop for content creation

Content Creation

Enhance content creation workflows and asset quality in popular apps such as Adobe® Photoshop® software , DaVinci Resolve and Blender®.

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ML Development

Develop advanced ML models by leveraging the dedicated AI hardware and memory subsystem on Radeon 9000 Series graphics cards for local, private, low-latency and low-cost ML training.

Explore AI on Radeon Today

Explore how easy it is to run powerful offline AI workloads on the latest AMD Radeon RX 9000 Series graphics with the most popular applications and models.

Generative AI (Visual)

App Description
Amuse  Easy to install implementation for Stable Diffusion with an easy to use UI, and direct download of popular models from HuggingFace.com.
Automatic1111  Most popular PyTorch implementation of Stable Diffusion.
Stable Diffusion WebUI - DirectML  Optimized python version of Stable Diffusion for Radeon GPUs using DirectML.

Generative AI (LLM)

App Description
LM Studio  Easy install, fully accelerated offline application.
OLLAMA  Optimized for AMD Radeon to run Llama 2Code Llama, and other models.

Creator

App Description
Adobe Creative Cloud   Adobe Premiere, Photoshop, Lightroom & After Effects from Adobe featuring online (Firefly) and offline (Neural Filters) AI features.
Black Magic Davinci Resolve Studio 18.6   Editing, color correction, visual effects, motion graphics and audio post production all in one software tool, with powerful Neural Engine acceleration via DirectML (DaVinci Resolve Studio only).
Topaz Labs   AI powered Photo and Video enhancement software for professionals and optimized for Radeon.
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Radeon Product Portfolio

Footnotes

Based on specifications of AMD RDNA 4 architecture compared to AMD RDNA 3 architecture as of December 2024. RX-1143

Radeon™ AI technology is compatible with all AMD Radeon™ 7000 Series graphics cards and newer. Please check with your system manufacturer for feature availability prior to purchase. GD-232.

PyTorch, the PyTorch logo and any related marks are trademarks of The Linux Foundation.

*Available on Radeon RX 7900 XTX and Radeon Pro W7900 in Linux