Apex Neural Rendering Challenges NVIDIA DLSS With Up To 2.4X Faster Frame Generation, 62% Lower VRAM Usage, And Broad GPU Support

Apex Compute has released a beta of Apex Neural Rendering (ANR), a cross-platform suite of Super Resolution, Ray Reconstruction, and Frame Generation technologies that the company says delivers up to 2.4× faster performance and higher quality rendering than NVIDIA DLSS. The Frame Generation component is available now on GitHub for Windows 10 and 11, Linux, and SteamOS via Proton, while Super Resolution and Ray Reconstruction models are still in training and slated to arrive later. ANR Frame Generation supports NVIDIA GeForce GTX 16-series and RTX 20, 30, 40, and 50 series; AMD Radeon RX 5000, 6000, 7000, and 9000 series plus the Steam Deck; and Intel Arc A-series and B-series graphics cards, covering nearly every modern GPU from the last five years. The beta currently relies on OptiScaler, an open-source utility that enables DLSS and FSR features in unsupported titles, and installation requires modifying individual game directories rather than a simple in-game toggle. Apex Compute has published first-party benchmarks showing that on a GeForce RTX 5090 at 4K, ANR takes 1.01 milliseconds to generate a frame in 2x mode versus 1.26 ms for DLSS Frame Generation, and 0.61 ms versus 0.82 ms in 4x mode. VRAM consumption is reported at 214 MB for ANR compared to 562 MB for DLSS, a 62% reduction. The company also claims better image quality and has posted side-by-side comparisons from The Last of Us Part II Remastered showing only generated frames. Notebookcheck notes these are first-party figures and independent testing will be needed to verify whether faster frame generation translates into lower overall latency and better in-game performance. GamingOnLinux points out that no license is listed on the GitHub repository yet, so the open-source status remains unclear. The FPS Review highlights that OptiScaler was recently used with DLSS 5 Autopilot to add neural rendering to games lacking native support, and notes community skepticism about subjective quality claims.