Early tests show up to 80% better performance and 90% lower VRAM usage thanks to Nvidia and Microsoft’s new AI rendering pipeline
A Ray of Hope for Low-VRAM GPU Owners
Modern gaming demands have made 8GB VRAM GPUs increasingly obsolete, especially at higher resolutions or with ray tracing enabled. But a new wave of AI-driven rendering technologies from Nvidia and Microsoft may be about to change that narrative—potentially extending the life of existing GPUs and reducing the cost barrier for high-quality gameplay.
- Nvidia’s DLSS 4, unveiled at CES 2025, introduces a host of innovations including Multi-Frame Generation and Transformer-based upscaling models.
- Alongside DLSS 4, Nvidia revealed Neural Texture Compression (NTC) and RTX Neural Materials, aimed at drastically reducing VRAM usage.
Real Benchmarks Show Real Promise
For the first time, practical testing has been done with these technologies, revealing results that far exceed expectations.
- @opinali, a GPU performance enthusiast and SWE at Google, tested early versions of Nvidia’s NTC paired with DirectX Raytracing 1.2 Cooperative Vector (DXR 1.2 CV).
- Running on an RTX 5080 with a beta driver (590.26) and RTX NTC from GitHub, the results showed:
- Up to 80% performance improvement.
- A staggering 90% reduction in VRAM usage in texture-heavy scenarios.
This leap is made possible by small neural networks embedded into the rendering pipeline, which compress and decompress textures in real time with minimal quality loss.
Microsoft’s Role: DirectX 12 Enables AI Integration
A critical component enabling this advancement is Microsoft’s DirectX 12 Cooperative Vectors, which allow AI acceleration across any compatible hardware, not just Nvidia cards.
- While DXR 1.2 CV is still exclusive to Nvidia in practical use (due to the lack of drivers from AMD and Intel), the framework itself is hardware-agnostic.
- This opens the door for future cross-vendor AI rendering enhancements, assuming driver support catches up.
AMD and Vulkan Also Show Potential
Interestingly, @opinali was also able to run NTC tests on an AMD Radeon RX 9070 XT using Vulkan, which currently offers broader experimental flexibility.
- Results showed +10% performance over the RTX 5080 in certain scenarios, suggesting AMD’s architecture may benefit even more—once driver-level support improves.
Could This Save Budget GPUs?
If these early results hold true in real-world gaming environments, it could breathe new life into GPUs with 4–8GB of VRAM, which are currently under strain in many modern titles.
- This could lower the upgrade threshold for gamers on a budget.
- AI compression might reduce reliance on costly, high-VRAM GPUs in the near term.
- However, support for older GPU generations remains uncertain, and newer models may still be required to access full functionality.
Final Thoughts
While AI-powered texture rendering is still in early stages, the combination of Neural Texture Compression, DLSS 4, and DirectX 12 Cooperative Vectors appears to offer transformational potential for PC gaming.
If these innovations reach maturity by late 2025 or early 2026, Nvidia and Microsoft could redefine performance expectations and VRAM limitations—making “just download more VRAM” less of a joke and more of a reality.
