Reported by 2 outlets
The story so far
AI summary of the reporting below · Updated · How we work
Apex Compute has introduced Apex Neural Rendering, an AI-powered graphics suite designed to challenge Nvidia DLSS across multiple GPU brands. The suite is planned to include Frame Generation, Super Resolution upscaling, and Ray Reconstruction, though only the frame generation component is currently available to test in a public beta. [1][2]
Unlike proprietary alternatives, the technology works broadly across hardware, supporting Nvidia GeForce GTX 16-series and RTX 20-series or newer, AMD Radeon RX 5000-series or newer, Intel Arc A-series and B-series cards, and the Steam Deck. Operating system support covers Windows 10, Windows 11, Linux, and SteamOS via Proton. Available on GitHub, the beta relies on OptiScaler and requires users to manually modify individual game directories, meaning setup is not seamless and game compatibility will vary. [2]
Apex Compute claims the software can deliver up to 2.4X faster frame generation while using substantially less memory than Nvidia's solution. However, these figures come directly from the developer, and real-world gaming performance remains to be confirmed by independent benchmarks. [1][2]
Apex Compute has released a public beta of Apex Neural Rendering, an AI-powered frame generation solution compatible with older Nvidia GeForce, AMD Radeon and Intel Arc graphics cards. The company claims its technology outperforms Nvidia DLSS Frame Generation in speed, image quality and memory consumption.
via Notebookcheck
NVIDIA DLSS may have a promising new competitor. Apex Compute has introduced Apex Neural Rendering (ANR), a cross-platform neural rendering suite that reportedly delivers up to 2.4X faster frame generation, superior image quality, and substantially lower GPU memory consumption than NVIDIA's technology. Better still, gamers can already try it for themselves — or at least its (Multi) Frame Generation component, which is currently available in beta.
via Wccftech