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Apex Neural Rendering Beats NVIDIA DLSS in Both Image Quality and Performance - TechPowerUp

Apex Neural Rendering Beats NVIDIA DLSS in Both Image Quality and Performance - TechPowerUp

NVIDIA GPUs
12 lis 2026, 09:35Hardware News
Oryginał
2 min read

Apex Compute has developed a new neural rendering technology called Apex Neural Rendering (ANR) that surpasses NVIDIA's DLSS in both image quality and performance.

According to Apex Compute, their new neural rendering technology, Apex Neural Rendering (ANR), offers superior performance and image quality compared to NVIDIA's DLSS implementations. ANR consists of three key components: frame generation (ANR FG), super resolution upscaling (ANR SR), and ray reconstruction denoising for ray tracing (ANR RR).

Testing on NVIDIA's GeForce RTX 5090 at 4K resolution with 2x frame generation, ANR FG achieved a latency of just 1.01 ms per frame, outperforming NVIDIA's DLSS Frame Generation, which recorded 1.26 ms. The technology also demonstrated significantly better memory efficiency, using only 214 MB of GPU memory compared to DLSS FG's 562 MB.

Superior Performance

ANR's neural network weights are remarkably efficient, fitting within just 0.17 MB. Sample images on Apex Compute's website show that ANR delivers image quality matching DLSS while surpassing it in some cases. The technology has been successfully implemented in games like Hogwarts Legacy and The Last of Us Part II Remastered, showing improved visual fidelity compared to DLSS.

We are not sure which version of DLSS FG was tested, but we can assume it was the latest version.

AleksandarK, Author

Broad Compatibility

ANR FG is currently a beta injector built around OptiScaler, working in any game that supports NVIDIA DLSS Frame Generation. The technology supports a wide range of hardware, including NVIDIA's GeForce RTX 20 series and newer, GTX 16 series, AMD's Radeon RX 5000 series and newer, Intel's Arc A and B-series, and even Apple's M1 and later chips. It's compatible with Windows 10, Windows 11, Linux, SteamOS with Proton, and macOS 26 or later.

Apex Compute plans to open-source the ANR framework with all its components soon, making it available on GitHub. This move could significantly impact the gaming industry by providing developers and gamers with a powerful alternative to existing upscaling technologies.

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