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Apex Neural Rendering Challenges Nvidia DLSS with Broad GPU Support

📰 Gadget News 2 min read 👁 6

Apex Compute has introduced a new AI-powered frame generation technology that supports a wide range of hardware, including older Nvidia, AMD, and Intel graphics cards.

Apex Neural Rendering Challenges Nvidia DLSS with Broad GPU Support📰Gadget News

Photo: Notebookcheck News

Key points

  • ANR supports Nvidia, AMD, and Intel GPUs, including older models.
  • Internal benchmarks suggest lower latency and VRAM usage than DLSS.
  • The beta is currently limited to frame generation and requires manual installation.

Apex Compute has unveiled Apex Neural Rendering (ANR), a new suite of AI-driven tools designed to compete with Nvidia’s DLSS. The platform aims to democratize high-end rendering by offering compatibility with a broad spectrum of hardware, including Nvidia GeForce GTX 16-series and RTX 20-series, AMD Radeon RX 5000-series, and Intel Arc A-series and B-series GPUs. The technology is also compatible with the Steam Deck and supports Windows, Linux, and SteamOS.

Currently, the beta version focuses exclusively on frame generation, with super-resolution upscaling and ray reconstruction planned for future updates. According to internal data provided by Apex Compute, their frame generation technology is faster than Nvidia's DLSS, recording a 1.01ms generation time compared to 1.26ms on an RTX 5090 at 4K. Furthermore, the company claims its solution is more memory-efficient, utilizing only 214 MB of VRAM compared to the 562 MB required by DLSS.

Should you try it? The ANR Frame Generation beta is currently available on GitHub for enthusiasts willing to manually modify game directories. Because it relies on OptiScaler and requires specific file-level adjustments, it is not a plug-and-play solution. Users should wait for independent testing to verify the image quality and performance claims before relying on it for daily gaming.

Source Notebookcheck News — notebookcheck.net/New-Nvidia-DLSS-rival-promises-faster-frame-gener… ↗

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