# AMD GPUOpen Gaming and graphics technologies from AMD This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## ADLX 2.0: Extending graphics control to AI agents and agentic apps DevFeed: [ADLX 2.0: Extending graphics control to AI agents and agentic apps]() Original publisher: [Read original article]() Author: Pete Vagiakos; Alexander Blake-Davies Published: 2026-09-16T10:00:00Z Content type: article Language: en Sources: [AMD GPUOpen]() Topics: [GPU](), [Artificial Intelligence](), [Hardware](), [SDK](), [Model Context Protocol]() Tags: [agents](), [ai](), [amd-device-library-extra](), [amd-device-library-extra-adlx](), [announcement](), [developers](), [gpu](), [hardware](), [mcp](), [ml](), [product-blogs](), [product-release](), [tools]() ### AI overview AMD ADLX 2.0 adds an AI extension framework and MCP servers that connect AI applications with AMD graphics technologies, enabling developers to build apps that monitor, manage, and optimize AMD graphics hardware. ### Source excerpt AMD ADLX 2.0 adds AI extensions and MCP servers to help developers build intelligent apps that can monitor, manage, and optimize AMD graphics hardware. ## Temporally stable generative illumination with a one-step diffusion model DevFeed: [Temporally stable generative illumination with a one-step diffusion model]() Original publisher: [Read original article]() Author: SungYe Kim; Harish Anand; Alexandr Kuznetsov; Wojciech Uss; Wojciech Kaliński; Rama Harihara Published: 2026-09-09T13:00:00Z Content type: article Language: en Sources: [AMD GPUOpen]() Topics: [real-time rendering](), [VAE]() Tags: [arr-group](), [article-release](), [diffusion](), [generation](), [gi](), [inference](), [lighting](), [ml](), [model](), [optimization](), [quality](), [ray-tracing](), [raytracing](), [real-time](), [real-time-rendering](), [research](), [white-paper]() ### AI overview The article presents a single-step latent diffusion method for real-time global illumination. It conditions image generation on scene signals and lighting hints, and uses a Temporal VAE decoder with motion-vector reprojection to improve temporal stability and reduce flicker. ### Source excerpt A generative method for real-time global illumination using a single-step latent diffusion model, delivering stable, high-quality lighting without costly iterative processing. ## AMD FSR plugin updated for Unreal Engine 5.8 DevFeed: [AMD FSR plugin updated for Unreal Engine 5.8]() Original publisher: [Read original article]() Author: Joe Rozek; Alexander Blake-Davies Published: 2026-08-27T12:00:00Z Content type: release Language: en Sources: [AMD GPUOpen]() Topics: [Unreal Engine](), [releases](), [GPU](), [Machine learning](), [SDKs]() Tags: [amd-fsr-3](), [amd-fsr-4](), [amd-fsr-frame-generation](), [amd-fsr-framegeneration](), [amd-fsr-upscaling](), [announcement](), [antilag](), [fsr-3](), [fsr-4](), [game-development](), [generation](), [gpu](), [ml](), [news](), [performance](), [plugin](), [product-blogs](), [product-release](), [redstone](), [release](), [super-resolution](), [technical-articles](), [unreal](), [unreal-engine]() ### AI overview The AMD FSR Unreal Engine plugin has been updated for Unreal Engine 5.8. It adds FSR Redstone SDK 2.3 updates, FSR Upscaling 4.1.1 support for AMD Radeon RX 7000 Series GPUs, and FSR Frame Generation 4.0.1 improvements. ### Source excerpt The updated AMD FSR™ Unreal® Engine plugin brings ML-powered upscaling and frame generation to Unreal Engine 5.8, now extending FSR Upscaling support to AMD Radeon RX 7000 Series GPUs. ## MiniDXNN v0.4.0: Interactive neural texture compression on DirectX 12 DevFeed: [MiniDXNN v0.4.0: Interactive neural texture compression on DirectX 12]() Original publisher: [Read original article]() Author: Takahiro Harada; Sho Ikeda Published: 2026-08-13T14:30:00Z Content type: release Language: en Sources: [AMD GPUOpen]() Topics: [Compression](), [GPU](), [Inference](), [mlp](), [Machine learning](), [GUI](), [shaders](), [Open Source]() Tags: [agility-sdk](), [announcement](), [compression](), [directx](), [driver](), [getting-started](), [gpu](), [gpu-open-sdks](), [gpu-open-tools](), [gpuopen-sdks](), [gpuopen-tools](), [graphics-apis](), [gui](), [inference](), [maths](), [memory](), [microsoft](), [microsoft-agility-sdk](), [microsoft-directx](), [ml](), [mlp](), [neural](), [open-source](), [product-release](), [quick-start](), [real-time](), [shaders](), [technical-article](), [technical-articles](), [tools]() ### AI overview MiniDXNN v0.4.0 is an open-source library for GPU-accelerated MLP inference and training on DirectX 12. The release adds D3D12 Linear Algebra support, input encoding for neural texture compression, and a real-time GUI application for training and visualizing texture representations. ### Source excerpt MiniDXNN v0.4.0 introduces D3D12 Linear Algebra (SM 6.10) support, input encodings and neural texture compression, plus a real-time GUI app that trains and visualizes GPU-accelerated MLPs on DirectX® 12. ## GPU view-adaptive crack-free subdivision of Bézier surfaces DevFeed: [GPU view-adaptive crack-free subdivision of Bézier surfaces]() Original publisher: [Read original article]() Author: Bastian Kuth; Quirin Meyer Published: 2026-08-06T12:00:00Z Content type: tutorial Language: en Sources: [AMD GPUOpen]() Topics: [GPU](), [procedural geometry](), [Hardware]() Tags: [adaptive](), [article-release](), [gpu](), [graphics](), [graphics-apis](), [maths](), [memory](), [microsoft-work-graphs](), [optimization](), [performance](), [render](), [research](), [technical-article](), [technical-articles](), [techniques](), [white-paper](), [work-graphs]() ### AI overview This article explains a GPU work graph approach to recursively subdividing bicubic Bézier surfaces. The method adapts triangle density to curvature and camera distance, reducing unnecessary geometry while maintaining crack-free rendering. ### Source excerpt Learn how fast, crack-free GPU work graph subdivision for bicubic Bézier surfaces dramatically reduce triangle counts while simplifying implementation and matching hardware-tessellation quality. ## Ray tracing massive amounts of animated geometry using tetrahedral cages DevFeed: [Ray tracing massive amounts of animated geometry using tetrahedral cages]() Original publisher: [Read original article]() Author: Holger Gruen Published: 2026-07-22T01:00:00Z Content type: article Language: en Sources: [AMD GPUOpen]() Topics: [Ray Tracing](), [GPU](), [real-time]() Tags: [agility-sdk](), [animation](), [architecture](), [article-release](), [directx](), [game-development](), [gpu](), [graphics](), [graphics-apis](), [memory](), [microsoft-agility-sdk](), [microsoft-directx](), [optimization](), [performance](), [ray-tracing](), [raytracing](), [real-time](), [research](), [reuse](), [technical-article](), [technical-articles](), [white-paper]() ### AI overview The article explains a ray-tracing method for massive animated scenes that uses low-resolution tetrahedral cages to deform geometry while reusing static mini-meshes and mini-BLASes. This reduces per-frame update and memory costs, with the paper demonstrating roughly 585 million animated triangles at 60 frames per second on an AMD Radeon RX 9070 XT at 1080p. ### Source excerpt Animate compact tetrahedral cages and reuse static mini-BLASes to ray-trace hundreds of millions of triangles in real time, dramatically cutting per-frame update and memory costs for dense foliage, grass, and crowds. ## Post-mortem GPU crash debugging with LLMs DevFeed: [Post-mortem GPU crash debugging with LLMs]() Original publisher: [Read original article]() Author: Amit Ben-Moshe; Amit Mulay Published: 2026-07-14T12:00:00Z Content type: article Language: en Sources: [AMD GPUOpen]() Topics: [GPU](), [debugging](), [Model Context Protocol](), [MCP Server](), [Large Language Model](), [Code](), [Post Mortem]() Tags: [announcement](), [coding-agents](), [debugging](), [getting-started](), [gpu](), [gpu-open-tools](), [gpuopen-third-party](), [gpuopen-tools](), [graphics-apis](), [llms](), [mcp](), [mcp-server](), [memory](), [microsoft](), [ml](), [news](), [product-release](), [quick-start](), [radeon-developer-tool-suite](), [radeon-gpu-detective](), [rdts](), [rgd](), [root-cause-analysis](), [technical-article](), [technical-articles](), [third-party](), [tools](), [user-guides-manuals]() ### AI overview This article introduces the open-source AMD Radeon GPU Detective MCP Server, which gives LLMs structured access to GPU crash dumps and application source code for post-mortem debugging. It describes a workflow in which an LLM investigates crash evidence and suggests source-code fixes through a single natural-language prompt. ### Source excerpt The new AMD RGD MCP Server connects LLM agents to AMD's GPU crash analysis pipeline, turning a single prompt into root-cause analysis and source-code fix suggestions. ## AMD FSR Upscaling 4.1 RDNA 3 Support Now Available in FSR SDK 2.3 Update DevFeed: [AMD FSR Upscaling 4.1 RDNA 3 Support Now Available in FSR SDK 2.3 Update]() Original publisher: [Read original article]() Author: Jason Lacroix; Alexander Blake-Davies Published: 2026-06-24T19:07:00Z Content type: release Language: en Sources: [AMD GPUOpen]() Topics: [SDK](), [Machine learning]() Tags: [amd](), [amd-fsr-3](), [amd-fsr-frame-generation](), [amd-fsr-framegeneration](), [amd-fsr-ray-regeneration](), [amd-fsr-rayregeneration](), [amd-fsr-sdk](), [amd-fsr-upscaling](), [announcement](), [denoising](), [ecosystem](), [fsr-sdk](), [game-development](), [gaming](), [gpu-open-effects](), [gpuopen-effects](), [graphics](), [improvements](), [ml](), [news](), [performance](), [product-blogs](), [product-release](), [quality](), [ray-tracing](), [raytracing](), [rdna](), [real-time](), [redstone](), [sdk](), [super-resolution](), [update]() ### AI overview AMD FSR SDK 2.3 expands ML-based FSR Upscaling 4.1.1 support to Radeon RX 7000 Series GPUs using RDNA 3 architecture. The update also includes Frame Generation stability improvements and feature improvements to Ray Regeneration. ### Source excerpt AMD FSR "Redstone" SDK 2.3 brings ML-powered FSR Upscaling 4.1.1 to AMD Radeon RX 7000 Series GPUs, along with Frame Generation 4.0.1 and Ray Regeneration 1.2 improvements for RDNA 4 GPUs. ## New AMD Radeon Developer Tool Suite update brings shader source code, Extended PIX Markers, and command-line capture DevFeed: [New AMD Radeon Developer Tool Suite update brings shader source code, Extended PIX Markers, and command-line capture]() Original publisher: [Read original article]() Author: Chris Hesik Published: 2026-06-11T16:26:00Z Content type: release Language: en Sources: [AMD GPUOpen]() Topics: [GPU](), [shaders](), [Ray Tracing](), [Command-line interface](), [Software](), [Hardware]() Tags: [agility-sdk](), [amd](), [announcement](), [command-line](), [developer](), [directx](), [driver](), [gpu](), [gpu-open-tools](), [gpuopen-other-amd](), [gpuopen-tools](), [graphics-apis](), [hardware](), [memory](), [microsoft](), [microsoft-agility-sdk](), [microsoft-directx](), [news](), [optimization](), [other-amd](), [performance](), [product-blogs](), [product-release](), [profiling](), [radeon-developer-panel](), [radeon-developer-tool-suite](), [radeon-gpu-analyzer](), [radeon-gpu-detective](), [radeon-gpu-profiler](), [radeon-memory-visualizer](), [radeon-raytracing-analyzer](), [ray-tracing](), [raytracing](), [rdp](), [rdts](), [release](), [rga](), [rgd](), [rgp](), [rmv](), [rra](), [shaders](), [source](), [technical-articles](), [tool](), [tools]() ### AI overview AMD's Radeon Developer Tool Suite update adds shader source code viewing, instruction-level divergence metrics, and Extended PIX Marker support in RGP 2.7. It also expands hardware compatibility and updates other tools in the suite. ### Source excerpt The new AMD Radeon Developer Tool Suite release delivers RGP 2.7 with shader source code viewing, instruction-level divergence metrics, and Extended PIX Marker support, expanded hardware compatibility, and updates across RGD, RRA, RMV, RGA, and RDP. ## WMMA guide for AMD RDNA 4 architecture GPUs - part 3 DevFeed: [WMMA guide for AMD RDNA 4 architecture GPUs - part 3]() Original publisher: [Read original article]() Author: Hui Zhang Published: 2026-06-02T19:02:00Z Content type: tutorial Language: en Sources: [AMD GPUOpen]() Topics: [Code](), [Optimization](), [llama.cpp](), [Warp]() Tags: [3](), [amd](), [architecture](), [code](), [cpp](), [cuda](), [getting-started](), [guide](), [hip](), [implement](), [llama-cpp](), [maths](), [memory](), [ml](), [optimization](), [performance](), [rdna](), [reference-guide](), [technical-article](), [technical-articles](), [user-guides-manuals]() ### AI overview This tutorial explains how to implement an in-register matrix transpose using the WMMA layout on AMD RDNA 4 GPUs. It describes an identity-matrix approach that avoids additional memory operations and notes its use in Llama.cpp for Flash Attention. ### Source excerpt Learn how to implement fast in-register matrix transpose on AMD RDNA™ 4 architecture GPUs with a WMMA-based identity trick, delivering a lightweight, memory-free alternative proven in Llama.cpp.