NVIDIA Releases New AI Video Upscaling Tech

NVIDIA’s latest AI video upscaling technology, RTX Video Super Resolution, significantly improves the quality of streamed and offline video content.

Key features of RTX Video Super Resolution: NVIDIA’s AI-powered video upscaling solution leverages dedicated Tensor Cores on GeForce RTX 40 and 30 Series GPUs and RTX professional GPUs to remove compression artifacts and upscale lower-resolution content up to 4K, matching the user’s native display resolution.

• The technology combines advanced de-artifacting techniques with AI upscaling to deliver stunningly clear video, even from low-bitrate sources like Twitch streams.
• RTX Video Super Resolution will soon be available in popular video editing apps like DaVinci Resolve, enabling creators to easily upscale and convert standard-dynamic range source files to high-dynamic range (HDR).

Expanding the reach of AI-enhanced video: NVIDIA is integrating AI upscaling technologies across various platforms and services, making high-quality video accessible to a broader audience.

• GeForce NOW cloud gaming service users can enjoy AI-enhanced upscaling on older NVIDIA GPU-powered devices, ensuring the best possible gameplay experience.
• NVIDIA SHIELD TV processes AI neural networks directly on its Tegra system-on-a-chip to upscale content from popular streaming platforms to the display’s native resolution.

Setting a new standard in streaming experiences: AI-powered video upscaling is revolutionizing the way people consume and create video content, delivering unprecedented improvements in quality and detail.

• By leveraging the power of AI and dedicated hardware, NVIDIA is enabling users to enjoy higher-quality video on their existing devices without the need for expensive upgrades.
• As more content creators adopt AI-enhanced tools like RTX Video Super Resolution, the overall quality of streamed and offline video is set to improve significantly, benefiting viewers across all platforms.

Broader implications for the video industry: The widespread adoption of AI-powered video upscaling has the potential to transform the entire video ecosystem, from content creation to consumption.

• As AI upscaling becomes more accessible and efficient, content providers may be able to reduce bandwidth requirements without compromising on quality, making high-resolution video more accessible to users with limited internet connectivity.
• The integration of AI-enhanced tools in video editing software could democratize high-quality video production, enabling even small-scale creators to deliver professional-grade content.

However, it remains to be seen how the industry will adapt to these new technologies and whether there will be any unforeseen consequences or challenges in terms of compatibility, performance, or user adoption.