You can probably achieve similar uplifts with manual tuning.

AMD has released its latest Software Development Kit (SDK) version 2.3, bringing updates to several AMD FSR Redstone DLL-based machine learning technologies. According to AMD, the most significant change from the FSR SDK 2.2, released in March, is an update to Ray Regeneration, now at version 1.2. In Ray Regeneration v1.2, AMD has implemented quality improvements and optional add-on ambient and specular denoising. This means that with Ray Regeneration, games can deliver much better results compared to analytical denoising using traditional machine learning. Since FSR Ray Regeneration denoising is decoupled from FSR Upscaling, the visual fidelity should be significantly improved when running on AMD GPUs.

When TechPowerUp spoke to AMD's Chief Software Officer and Senior Director of Software earlier in June, the executives made bold claims about the quality of its new FSR 4.1 implementation coming to older RDNA 3 GPUs, stating that, despite underlying technical differences, the actual output would have the same quality as it does on RDNA 4 GPUs. There was, however, little discussion about a potential performance hit from the upscaling tech, although it seems as though that discussion may not have been necessary at all, according to testing that has shown up on r/radeon on Reddit.

Explore how AMD's Helios AI architecture transforms infrastructure readiness for large enterprises beyond traditional data centers.

The feature was quietly removed through a firmware update on some non-PRO Ryzen CPUs.

AMD gains a team of experienced engineers too.

AMD's stripping of TSME from consumer CPUs appears to be a deliberate, covert move.

Quis renovatores renovat — who updates the updater?

The 5800X3D returns at $349, while the 7700X3D debuts at $329.

AMD's ROCm open-source compute stack is up to version 7.2.4 stable as it continues seeing new fixes while on the tech preview feature side is the recent ROCm 7.13 release.

Despite ending support, AMD is continuing to bring out drivers for the aging Polaris and Vega architecture graphics cards.

Confidential computing protections can reportedly be broken before they even finish initializing

The memory squeeze hits the balance sheet.

One area that's lacking on Linux right now is support for later versions of HDMI with AMD GPUs, but it seems expanded features are coming.

Both of the chip's CPU dies will include 64MB of extra cache stacked beneath.

AMD has released its official FSR Software Development Kit version 2.2, which includes the latest set of FSR technologies. This release features FSR Upscaling 4.1 and Ray Regeneration 1.1, showcased late last week as part of the Adrenalin Edition 26.3.1 WHQL driver. The updated FSR "Redstone" SDK v2.2 introduces a much improved FSR 4.1 upscaling technology for the RDNA 4 family of graphics cards. The transition from FSR 4.0 to FSR 4.1 demonstrates that the latest version provides much finer details of game scenery, especially when objects are in motion. In the Crimson Desert game demo, grass moved by the wind appears much more detailed with FSR 4.1 compared to FSR 4.0, which previously applied a somewhat blurry effect to the grass. This improvement brings the visuals closer to native rendering.

We take an in-depth look at AMD's 2026 and 2027 roadmaps.

Ultra Performance Mode gets a slight FPS boost, too.

AMD is spending record money on lobbying after decades of absence or near-absence from any form of political contribution and, in our opinions, is now joining the ranks of companies like Micron, NVIDIA, and Palantir in effectively bribing the US government for favorable deregulation, tax incentives, and safety bypasses for AI and data centers. We dig into AMD's millions of spending on Super PACs associated with President Trump, lobbyists, and in general, what we view as anti-consumer and anti-humanity efforts as AMD partners closely with the Federal Government to reduce safety nets around construction and development. Like NVIDIA and Micron, AMD is taking the same path of directly engaging in what we think are, effectively, bribes, while still maintaining an image of being the plucky underdog.

AMD has published a guide for running OpenClaw locally on Windows through two distinct hardware paths it calls "RyzenClaw" and "RadeonClaw," both built around its own silicon and designed to keep AI agent workloads off the cloud entirely. The push is part of AMD's broader "Agent Computer" narrative, where it argues that not every AI workload belongs in a data center, people and businesses want control over their data, affordable always-on AI without usage limits, and the confidence that their models are running locally rather than on someone else's infrastructure. The setup runs through WSL2 with LM Studio handling local LLM inference via llama.cpp, and supports Memory.md through local embeddings, no cloud dependency required. AMD says the environment can be configured in under an hour, targeting early adopters and developers experimenting with personal AI agents.

On Monday, AMD announced its latest Ryzen AI 400 Series and Ryzen AI PRO 400 Series desktop processors, based on the "Gorgon Point" silicon and powered by the "Zen 5" core configuration. This generation follows the Ryzen 8000G series, known as "Phoenix Point." However, it has been revealed that the Ryzen AI 400 series reduces the number of usable PCIe lanes compared to the previous Ryzen 8000G generation. The new top SKU offers 16 native PCIe 4.0 lanes, but only 12 are available to the rest of the system. Four of these PCIe lanes are used for the chipset link that connects the AM5 socket to the motherboard chipset, leaving fewer lanes for the end-user. Lower-tier chips may provide as few as 10 usable lanes, which is insufficient to run a discrete GPU at its full 16x lanes in the PCIe 4.0 connector on the AM5 motherboard. When a user installs an M.2 PCIe NVMe SSD, only eight lanes remain available for a discrete graphics card, meaning the GPU will operate in x8 mode instead of x16.

AMD is seeing server CPU demand it didn't fully anticipate, with CEO Lisa Su describing it as having "far exceeded" her expectations. Speaking at the Morgan Stanley Technology, Media & Telecom Conference earlier today, Su outlined how the landscape has shifted as agentic AI applications have taken off, pushing CPUs back into the spotlight alongside accelerators. The CPU-to-GPU ratio in AI compute workloads has evolved dramatically over the past few months, and top customers reportedly told Su that CPU demand sitting alongside AI was "under-forecasted." Supply is tightening as a result. The sudden spike in customer commitments left little time for the supply chain to adjust, though AMD says it's working closely with partners to ease existing bottlenecks and expects capacity to expand over the coming year. Su expressed confidence that AMD's product lineup is well positioned to address training, inference, and agentic workloads going forward. We've also seen this play out at the customer level, with hyperscalers like Meta signing CPU agreements with AMD and NVIDIA, a sign that compute is diversifying away from a pure GPU focus.

Remembering one of the jewels of the Super Socket 7 era.

cross-posted from: https://piefed.ca/c/amd/p/513386/i-m-annoyed-at-amd-s-latest-radeon-blunder

• Invidious
• Youtube