DLSS 4 | New Multi Frame Gen & Everything Enhanced

Summary

NVIDIA’s DLSS technology has revolutionized gaming and graphics since 2018. The latest update, DLSS 4, introduces Multi-Frame Generation and enhanced Single-Frame Generation, delivering improved performance, reduced VRAM usage, and stunning image quality on RTX 40 and 50 Series GPUs. Leveraging the power of AI and a Transformer-based architecture, DLSS 4 optimizes Ray Reconstruction, Super Resolution, and DLAA for better stability and detail, even in ray-traced content. With support for over 75 games and creative apps, DLSS 4 ushers in a new era of Neural Graphics, making games more immersive, faster, and visually stunning.

Takeaways

• 😀 DLSS (Deep Learning Super Sampling) has been evolving since 2018, utilizing AI to improve computer graphics and gameplay experiences.
• 😀 DLSS continuously learns from data and retrains models to enhance AI efficiency, performance, and integration.
• 😀 The launch of DLSS 4 introduces significant advancements, including Multi-Frame Generation for RTX 40 and 50 Series GPUs.
• 😀 Multi-Frame Generation enables the generation of multiple frames between traditionally rendered frames, boosting performance and reducing memory usage.
• 😀 The Blackwell architecture, used in RTX 50 Series GPUs, improves frame pacing and AI model execution, making Multi-Frame Generation more efficient.
• 😀 RTX 50 Series GPUs feature 5th generation tensor cores that power DLSS 4, delivering up to three additional frames for dramatic performance gains.
• 😀 Over 75 games and apps will support Multi-Frame Generation once RTX 50 Series GPUs are available, expanding the technology’s reach.
• 😀 DLSS 4 introduces a more powerful Transformer-based model for Super Resolution, Ray Reconstruction, and DLAA, enhancing image quality for all RTX users.
• 😀 The Transformer-based architecture offers greater scalability and can better identify long-range pixel patterns, improving image detail and stability.
• 😀 DLSS 4 integrates AI-generated pixels in real-time, reaching up to 15 out of every 16 pixels being AI-generated with Multi-Frame Generation.
• 😀 DLSS 4 will also be available for creative apps like Unreal Engine 5, D5 Render, and Chaos Vantage, enhancing content creation with real-time performance boosts.

Q & A

What is DLSS and how has it evolved since its launch in 2018?

DLSS (Deep Learning Super Sampling) is an AI-driven technology developed to improve gaming performance and image quality. It was launched with RTX GPUs in 2018 and has evolved through multiple iterations. The advancements include new AI models for better image resolution, faster performance, and integration ease, making DLSS the most efficient way to play games with enhanced graphics.

What is Multi-Frame Generation and how does it work on RTX 50 Series GPUs?

Multi-Frame Generation is a feature that allows RTX 50 Series GPUs to generate multiple frames between traditionally rendered frames. This is made possible by a new AI model that efficiently generates the optical flow field and uses advanced tensor cores to boost computational performance, enhancing frame rates and delivering superior gameplay experiences.

How does DLSS 4 improve image quality and performance on RTX 40 and 50 Series GPUs?

DLSS 4 introduces a powerful Transformer-based model for Super Resolution, Ray Reconstruction, and Deep Learning Anti-Aliasing (DLAA). This new architecture provides better image quality and stability by using self-attention mechanisms to identify long-range pixel patterns. It also significantly reduces common artifacts, especially in Ray Traced content.

What makes the Blackwell architecture significant for DLSS 4?

The Blackwell architecture, introduced with RTX 50 Series GPUs, is specifically designed for Neural Rendering, which enhances DLSS capabilities. It provides improved tensor cores and a more efficient display engine, enabling faster AI processing and more accurate frame pacing for Multi-Frame Generation.

What advancements does DLSS 4 bring for games with intensive Ray Tracing?

DLSS 4's Transformer-based Ray Reconstruction model offers significant improvements in Ray Tracing-heavy games, particularly in terms of image quality. It reduces artifacts from traditional denoisers and stabilizes images, providing clearer visuals in scenes with challenging lighting.

What role do tensor cores play in DLSS 4's performance?

Tensor cores are specialized processing units in RTX GPUs that accelerate AI calculations. In DLSS 4, these cores provide the computational power necessary to handle the more demanding Transformer models. They boost performance by quickly processing the AI models used for Super Resolution, Ray Reconstruction, and DLAA.

What are the benefits of using the Transformer model over traditional CNN models in DLSS?

The Transformer model is more efficient than traditional Convolutional Neural Networks (CNNs), as it can process larger windows of pixels and capture long-range patterns more effectively. This results in better scaling, enhanced image quality, and faster processing, particularly for real-time applications like gaming and creative apps.

How will the new DLSS technologies affect creative applications like Unreal Engine and D5 Render?

DLSS 4 is being integrated into creative apps like Unreal Engine 5, D5 Render, and Chaos Vantage. The technology significantly enhances real-time rendering, improving frame rates and image quality, which allows designers to iterate and collaborate more efficiently. DLSS enables AI-generated pixels that are of higher quality than those produced by traditional rendering.

What are the key innovations of the RTX 50 Series GPUs for DLSS?

RTX 50 Series GPUs bring several key innovations for DLSS, including enhanced tensor cores, improved frame pacing with Multi-Frame Generation, and a new Transformer-based AI model. These innovations allow for faster, more accurate image generation, delivering up to three additional frames per traditional frame, resulting in superior performance and graphics.

How does DLSS 4 improve VRAM usage and performance for RTX 40 and 50 Series GPUs?

DLSS 4 introduces an enhanced Single-Frame Generation model that uses two AI models—one for optical flow and another for frame generation. This reduces VRAM usage and boosts performance, allowing for better resource management while maintaining high-quality visuals.