DLSS Ray Reconstruction and 4X Frame Generation on AMD Radeon: DLSS-NR-on-AMD 0.8.0 Guide

With the release of version 0.8.0 of the community-built DLSS-NR-on-AMD project by developer Daniel Blanco (known on GitHub as danielblnc), that barrier has been dismantled in a remarkably ambitious way. According to the project's GitHub documentation and reporting from Wccftech and VideoCardz, this unofficial Windows 11 mod now enables all four pillars of NVIDIA's modern DLSS stack—DLSS Super Resolution (including 4.5 models), DLSS Ray Reconstruction, DLSS Frame Generation (with Multi Frame Generation up to 4X), and DLSS 5 Neural Rendering—to execute on AMD Radeon RX 7000 (RDNA 3) and RX 9000 (RDNA 4) GPUs.

Before you rush to uninstall your display drivers or proclaim the GPU wars over, it is worth understanding what this project actually is, how it works under the hood on Windows 11, and where the very real experimental guardrails sit.

What Changed in DLSS-NR-on-AMD v0.8.0?​

What originally began in September as an experimental effort to run NVIDIA's DLSS 5 Neural Rendering on Radeon hardware has rapidly snowballed into a comprehensive runtime replacement. While earlier community efforts—such as the Linux- and Proton-focused d4r project—experimented with running DLSS 4 and 4.5 Super Resolution models via ZLUDA translation and native FP8 capabilities on RDNA 4, Blanco's Windows-focused project has now consolidated the main DLSS feature set under one roof.

According to the DLSS-NR-on-AMD 0.8.0 release notes and VideoCardz's breakdown, the mod now encompasses:

• DLSS Ray Reconstruction (RR): Newly added in v0.8.0, utilizing a native implementation of NVIDIA's Model F neural denoiser to replace conventional, hand-tuned ray-tracing denoisers.
• DLSS Frame Generation (FG) & Multi Frame Generation (MFG): Also new in v0.8.0, adding support for AI-generated intermediate frames, including Multi Frame Generation up to 4X.
• DLSS Super Resolution (SR): Support for NVIDIA's upscaling technology, including DLSS 4.5 Models M and L.
• DLSS 5 Neural Rendering (NR): The project's original centerpiece, which received an additional 25% performance boost on RDNA 3 hardware in this update alongside faster loading times and DirectX 12 optimizations.

In addition to the NVIDIA stack, the developer notes on GitHub that AMD's own FSR Super Resolution is bundled into the management tool, with FSR Frame Generation and FSR Ray Regeneration slated for future builds. Only NVIDIA Reflex remains entirely outside the unofficial Radeon porting spree.

Section Summary: Version 0.8.0 transforms DLSS-NR-on-AMD from a single-feature experiment into a full-suite mod for RDNA 3 and RDNA 4 cards, adding Ray Reconstruction and up to 4X Multi Frame Generation alongside existing Super Resolution and DLSS 5 Neural Rendering support.

How Does NVIDIA AI Run on AMD Silicon?​

If you are wondering how a proprietary feature designed for NVIDIA Tensor cores is suddenly running on AMD compute units without NVIDIA's blessing, the answer lies in custom low-level programming rather than a simple wrapper.

In the project's official GitHub FAQ, Blanco emphasizes that DLSS-NR-on-AMD is not a runtime instruction translation layer. Instead, the developer describes it as a ground-up reimplementation of the DLSS neural network execution runtimes built specifically for AMD GPU architectures. It utilizes custom HIP compute kernels, AMD-tailored memory layouts, and direct DirectX 12 integration to execute the neural network weights stored inside NVIDIA's official DLL files.

Because the mod does not distribute any proprietary NVIDIA code or binaries, users must bring their own legitimate copies of NVIDIA's .dll files extracted from supported games. The mod acts as the engine and management harness, reading the neural models from those user-supplied files and executing the math natively on Radeon hardware.

Why Ray Reconstruction Is the Big Catch​

While Frame Generation grabs headlines with big framerate multipliers, DLSS Ray Reconstruction is arguably the most technically intriguing piece of the 0.8.0 update for image-quality purists. Traditional ray tracing and path tracing cast a limited number of rays per pixel and rely on separate, hand-tuned denoisers for reflections, global illumination, and shadows—a process that can leave behind ghosting, shimmering, or smeared details. Ray Reconstruction replaces those disparate denoisers with a unified neural network. Until now, Radeon users experimenting with heavy ray tracing had to fall back on conventional game denoisers or AMD's FSR Ray Regeneration where available.

Real-World Testing: Cyberpunk 2077 and Performance Reality Checks​

Whenever an unofficial port of a heavy AI workload appears, the immediate question is whether it runs like a slide show. Early community testing and developer notes paint a nuanced picture that requires separating individual best-case stories from broad expectations.

As highlighted by both Wccftech and VideoCardz, a Reddit user (u/Plus-Raspberry-9551) demonstrated DLSS Ray Reconstruction running inside Cyberpunk 2077 on an AMD Radeon RX 9070 XT paired with a Ryzen 7 9700X at 1440p resolution with maximum settings and Path Tracing enabled. In that specific showcase, the user reported visible denoising improvements with zero measurable framerate loss when toggling Ray Reconstruction on.

However, both publications note that community mileage varies significantly depending on the hardware, game, and settings:

• While one tester saw no performance penalty in Cyberpunk 2077, other community members reported framerate drops of roughly 4 to 10 FPS when enabling Ray Reconstruction.
• Another separate user test cited by VideoCardz showed a steeper performance hit of approximately 25%.
• For DLSS 5 Neural Rendering, Blanco's GitHub documentation states that performance is now in "playable" territory, reaching roughly 90 to 100 FPS at 1080p on a Radeon RX 9070 XT using the full HT model—though that figure represents a standalone Neural Rendering metric rather than a combined Ray Reconstruction benchmark. Earlier DirectX 12 optimizations in the project also yielded 6% to 16% gains in demanding scenes, alongside the new 25% RDNA 3 uplift in v0.8.0.
• Game compatibility is broad across DirectX 12 titles with upscaler hooks, though early community reports recorded by VideoCardz note that Alan Wake 2, Resident Evil Requiem, and Pragmata currently exhibit issues.

In short: it works, and the visual results in supported titles are close to native GeForce output according to the developer, though Blanco readily admits some visual effects may not function at 100% parity yet.

Prerequisites, NeuralHub Setup, and the Anti-Cheat Warning​

To make the mod less daunting than dragging and dropping loose configuration files into game directories, version 0.8.0 introduces NeuralHub, a dedicated management interface.

According to the project's GitHub documentation, running the mod requires a specific Windows environment:

1. Operating System & API: Windows 11 running a DirectX 12 game that natively supports DLSS, FSR, or XeSS (Vulkan and Linux support are not currently available, though planned for a future update).
2. Graphics Hardware: An AMD Radeon RX 9000 (RDNA 4) or RX 7000 (RDNA 3) series GPU for the full four-feature suite, or an RX 6000 (RDNA 2) series GPU for experimental DLSS 5 Neural Rendering testing.
3. Graphics Driver: AMD Software: Adrenalin Edition 26.1.1 or newer.
4. User-Supplied Binaries: Legitimate copies of NVIDIA's DLLs sourced from updated games:
   • nvngx_dlssnr.dll (build 310.8.0.0 or newer) for DLSS 5 Neural Rendering.
   • nvngx_dlss.dll for DLSS Super Resolution.
   • nvngx_dlssd.dll for DLSS Ray Reconstruction.
   • nvngx_dlssg.dll for DLSS Frame Generation.

How the Workflow Operates​

Once the prerequisites are met, the documented setup follows a centralized routine:

• Install the NeuralHub setup executable and import your copies of the NVIDIA .dll files into the manager.
• Allow NeuralHub to scan your system for compatible DirectX 12 games and install the mod loader into the specific single-player titles you want to test.
• Configure your desired DLSS or bundled FSR options, launch the game, and enable an upscaler (DLSS, FSR, or XeSS) in the in-game graphics menu (note that Frame Generation currently requires GPU spoofing and native DLSS-FG game inputs).
• Press the End key in-game to summon the mod's overlay, where arrow keys, Enter, and Page Up/Page Down toggle features on the fly.

The Golden Rule: Keep It Out of Multiplayer​

If you take only one practical piece of IT advice away from this coverage, make it this: never use DLL-injection or runtime-replacement graphics mods in games with active anti-cheat software. The project's README explicitly warns that anti-cheat systems will block the modified DLLs and instructs users to run the tool only with anti-cheat disabled. In modern online games, unexpected graphics hooks and spoofed GPU identifiers are a fast track to an automated account ban. Keep your experimentation strictly confined to offline, single-player campaigns like Cyberpunk 2077.

The Bigger Picture for Windows PC Gaming​

There is an undeniable irony in watching an independent developer bring NVIDIA's entire marquee software suite to Radeon graphics cards without a shred of official support from either Santa Clara giant. It underscores two truths about the current Windows gaming landscape. First, modern GPU architectures—especially RDNA 3 and RDNA 4 with their maturing AI and matrix math capabilities—are far more capable of running complex neural rendering workloads than vendor-locked marketing suggests. Second, when hardware vendors tie next-generation visual features to proprietary ecosystems, the PC community will inevitably treat those boundaries as a puzzle waiting to be solved.

DLSS-NR-on-AMD v0.8.0 is not a polished, one-click driver toggle that replaces native GeForce RTX support, nor is it warranted against crashes or visual quirks. Still, for Windows 11 enthusiasts with an RX 7000 or RX 9000 card who enjoy tinkering in single-player sandboxes, seeing Ray Reconstruction and Multi Frame Generation come alive on Team Red silicon is one of the most impressive community engineering feats of the year.