NVIDIA Reflex & AMD Anti-Lag 2 Now Work on Any Linux GPU
▼ Summary
– A new open-source Vulkan layer called low_latency_layer lets Linux gamers use NVIDIA Reflex or AMD Anti-Lag 2 on any GPU, regardless of manufacturer.
– The layer works as a hardware-agnostic workaround that does not require official driver support for these latency-reducing technologies.
– Tests on an AMD RX 7900 XTX system showed latency reductions of a few milliseconds in games like Counter-Strike 2 and Cyberpunk 2077, matching Windows performance.
– Counter-Strike 2 on Linux with Anti-Lag 2 achieved even lower latency than on Windows, likely due to less background processing on Linux.
– Installation requires technical knowledge, including enabling NVAPI support for Proton-translated games, though clear documentation is provided.
A new open-source project, lowlatencylayer, is set to revolutionize gaming on Linux by bringing NVIDIA Reflex and AMD Anti-Lag 2 technologies to any GPU, regardless of the manufacturer. Developed by Korthos Software, this Vulkan layer enables latency optimization on Linux-based operating systems in a hardware-agnostic way, meaning gamers with NVIDIA, AMD, or Intel cards can all benefit. The layer was created as a clever workaround for driver support, eliminating the need for official driver enablement. It offers players the flexibility to run applications with NVIDIA Reflex even where AMD Anti-Lag 2 is not supported.
In official testing, the Korthos Software team used an AMD Radeon RX 7900 XTX, AMD Ryzen 7 9800X3D, and 64 GB of system RAM to evaluate games like THE FINALS, Counter-Strike 2, Cyberpunk 2077, Resident Evil Requiem, Marvel Rivals, and Overwatch 2. Depending on the title and its official support for the technology, each game achieved latency reductions comparable to native Windows gaming environments. These reductions, often just a few milliseconds, are especially critical for eSports players, such as those in Counter-Strike 2. Interestingly, CS2 on Linux using Anti-Lag 2 actually delivers lower latency than the same technology on Windows, likely because CS2 is a Linux-native application and Windows has additional background processing that may cause issues. Overall, the results are impressive.
Installing this layer does require some technical expertise, as multiple variables must be toggled and configured. Fortunately, the documentation is clear and well-explained. Users can also seek guidance from popular AI chatbots, though caution is advised. For non-native games translated through Proton, enabling NVAPI support is necessary for the layer to function correctly. This involves setting additional environment variables, but the official GitHub page provides detailed instructions for every step.
(Source: Techpowerup.com)