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{"meta":{"description":"Generative AI is enabling new capabilities for Windows apps and games."},"active":true,"show_in_home":true,"show_as_recent":false,"show_as_popular":false,"_id":"67212bc6499382ad1b136c9d","aid":"embracing-ai-with-nvidia-rtx","title":"Embracing AI with NVIDIA RTX","sub_title":"Generative AI is enabling new capabilities for Windows apps and games.","sid":"pc-parts-benchmark","date":"10/29/2024","elements":[{"_id":"67212bc6499382ad1b136c9e","id":"p0","sort_index":0,"type":"paragraph","content":"<p><br data-mce-bogus='1'></p><p>Generative AI is enabling new capabilities for Windows apps and games. It’s powering unscripted, dynamic non-playable characters (NPCs), enabling creators to generate novel works of art, and it’s helping gamers boost frame rates by up to 4x. But this is just the beginning. As the capabilities and use cases for generative AI continue to grow, so does the demand for compute to support it.</p><p>NVIDIA GeForce RTX GPUs are helping to drive the future of AI-powered gaming, content creation, productivity and app development. Let’s dive into how NVIDIA GeForce RTX GPUs enhance AI experiences for consumers and developers today.</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p><p><span style='color: rgb(255, 48, 48); font-size: 18pt;' data-mce-style='color: #ff3030; font-size: 18pt;'><strong>Gaming Powered by AI</strong></span></p><p>AI-powered technology enhances everything from FPS to fidelity. The latest series of <a href='https://www.nvidia.com/en-us/ai-on-rtx/?ncid=pa-srch-goog-915041&gad_source=1&gclid=EAIaIQobChMIpO-r4cSTiQMVT8_CBB1wCg4WEAAYASAAEgIcQfD_BwE' data-mce-href='https://www.nvidia.com/en-us/ai-on-rtx/?ncid=pa-srch-goog-915041&gad_source=1&gclid=EAIaIQobChMIpO-r4cSTiQMVT8_CBB1wCg4WEAAYASAAEgIcQfD_BwE' target='_blank'>NVIDIA GeForce RTX GPUs</a> efficiently run AI as they’re equipped with <a href='https://www.nvidia.com/en-us/data-center/tensor-cores/' data-mce-href='https://www.nvidia.com/en-us/data-center/tensor-cores/' target='_blank'>Tensor Cores</a>.</p><p>Using <a href='https://www.nvidia.com/en-us/geforce/technologies/dlss/' data-mce-href='https://www.nvidia.com/en-us/geforce/technologies/dlss/' target='_blank'>NVIDIA DLSS</a> (Deep Learning Super Sampling), the latest <a href='https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/' data-mce-href='https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/' target='_blank'>GeForce RTX 40 Series GPUs</a> are powered by the ultra-efficient <a href='https://www.nvidia.com/en-us/geforce/ada-lovelace-architecture/' data-mce-href='https://www.nvidia.com/en-us/geforce/ada-lovelace-architecture/' target='_blank'>NVIDIA Ada Lovelace</a> architecture, able to adapt to performance demands on the fly, boosting FPS with frame generation, enhanced ray-tracing, upgraded lower-resolution frames to higher resolutions, and maximized anti-aliasing qualities.<br><br>While running DLSS, games can have a massive increase in FPS performance ranging from 200% to over 550%.</p><p>Powered by AI neural networks, <a href='https://developer.nvidia.com/ace' data-mce-href='https://developer.nvidia.com/ace' target='_blank'>NVIDIA ACE</a> lets developers and designers create NPCs that can understand and respond to human player text and speech. It leverages AI models, including speech-to-text models to handle natural language spoken aloud, to generate NPCs’ responses in real time.</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p><p><span style='color: rgb(255, 48, 48); font-size: 18pt;' data-mce-style='color: #ff3030; font-size: 18pt;'><strong>RTX-Accelerated Broadcasting</strong></span></p><p>Streaming is easier than ever with NVIDIA technologies. For starters, PC performance and video quality are incredibly high quality thanks to NVIDIA’s dedicated encoder, NVENC, and RTX-accelerated AI tools.</p><p>Recently, NVIDIA and Twitch collaborated to develop <a href='https://blogs.nvidia.com/blog/twitch-multiencode-av1-livestreaming/' data-mce-href='https://blogs.nvidia.com/blog/twitch-multiencode-av1-livestreaming/' target='_blank'>Twitch Enhanced Broadcasting</a>. The feature adds the capability to send multiple streams — each with different resolutions or bitrates— directly from NVIDIA GeForce RTX-equipped PCs or <a href='https://www.nvidia.com/en-us/design-visualization/workstations/' data-mce-href='https://www.nvidia.com/en-us/design-visualization/workstations/' target='_blank' rel='noopener'>NVIDIA RTX workstations</a> to deliver the highest-quality video a viewer’s internet connection can handle.</p><p>Twitch recently added HEVC (H.265) support in the Enhanced Broadcasting closed beta, with the feature going live early next year. With the NVIDIA encoder, Twitch streamers get 25% improved efficiency and quality over H.264 — video will look higher quality and with reduced artifacts or encoding errors. The feature is ideal for streaming fast-paced gameplay, enabling cleaner, sharper video with minimal lag.</p><p>Because all stream versions are generated with a dedicated hardware encoder on GeForce RTX GPUs, the rest of the system’s GPU and CPU are free to focus on running games more smoothly to maximize performance.</p><p>Livestreamers can use AI to enhance their hardware peripherals and devices with <a href='https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app/' data-mce-href='https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app/' target='_blank'>NVIDIA Broadcast</a>, which transforms any home office or dorm room into a home studio — without the need to purchase specialized equipment. Its AI-powered features, including Noise and Echo Removal for microphones, and Virtual Background, Auto Frame, Video Noise Removal and Eye Contact, enhance the quality of microphones, webcams or speakers.</p><p>Livestreamers can <a href='https://international.download.nvidia.com/Windows/broadcast/1.4.0.29/NVIDIA_Broadcast_v1.4.0.29.exe' data-mce-href='https://international.download.nvidia.com/Windows/broadcast/1.4.0.29/NVIDIA_Broadcast_v1.4.0.29.exe' target='_blank' rel='noopener'>download</a> the Broadcast app or access its effects across popular creative apps, including Corsair iCUE, Elgato Camera Hub, OBS, Streamlabs, VTube Studio and Wave Link.</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p><p><span style='color: rgb(255, 48, 48); font-size: 18pt;' data-mce-style='color: #ff3030; font-size: 18pt;'><strong>Better Video With AI</strong></span></p><p>There’s no better way to watch livestreams than with <a href='https://blogs.nvidia.com/blog/rtx-video-super-resolution-ai-obs-broadcast/' data-mce-href='https://blogs.nvidia.com/blog/rtx-video-super-resolution-ai-obs-broadcast/' target='_blank'>RTX Video Super Resolution</a> and <a href='https://blogs.nvidia.com/blog/rtx-video-hdr-remix-studio-driver/' data-mce-href='https://blogs.nvidia.com/blog/rtx-video-hdr-remix-studio-driver/' target='_blank' rel='noopener'>HDR</a>. This AI-enhanced video technology uses tensor cores to upscale lower resolution video to native panel resolutions. Blocky and distracting artifacts common in livestreamed video is removed using AI, producing a smoother, more visually appealing stream to watch. And for customers with HDR10 capable monitors, RTX Video HDR will convert SDR to HDR in real time, letting you see sharper images with higher dynamic range.</p><p>RTX Video is now available on most major browsers, including Google Chrome, Microsoft Edge, Firefox, and Opera browsers. RTX Video works on all RTX enabled desktops and laptops.</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p><p><span style='color: rgb(255, 48, 48); font-size: 18pt;' data-mce-style='color: #ff3030; font-size: 18pt;'><strong>On-Device Development with NVIDIA</strong></span></p><p>As AI adoption grows, app developers are exploring various deployment options. Running AI locally on RTX GPUs offers high performance, low latency, and constant availability—even without internet access. Meanwhile, cloud-based AI can handle larger models and scale across multiple GPUs, serving many clients simultaneously. Often, applications benefit from both approaches.</p><p>To aid in this, NVIDIA provides a suite of tools and technologies that support hybrid AI workflows, empowering creators, gamers, and developers to leverage both local and cloud-based AI.</p><p>With RTX GPUs and optimized AI software stacks, such as CUDA and <a href='https://developer.nvidia.com/tensorrt' data-mce-href='https://developer.nvidia.com/tensorrt' target='_blank' data-mce-selected='inline-boundary'>NVIDIA TensorRT</a>, developers can accelerate AI development while maintaining data privacy, delivering seamless, high-performance experiences for users—whether AI runs locally or in the cloud. This allows for faster innovation and the delivery of cutting-edge AI-powered features.</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p><p><span style='color: rgb(255, 48, 48); font-size: 18pt;' data-mce-style='color: #ff3030; font-size: 18pt;'><strong>All Your Favorite Apps, Now with AI</strong></span></p><p>More and more apps are being built around AI, such as the Adobe suite, OBS, Autodesk, DaVinci Resolve, and many more.</p><p>To best access the major power-boost of AI in these apps, check out how to get your hands on a CLX PC with an NVIDIA GeForce RTX 40 Series GPU and<a href='https://www.clxgaming.com/nvidia-rtx-ai-pc' data-mce-href='../nvidia-rtx-ai-pc'> </a><a href='https://www.clxgaming.com/nvidia-rtx-ai-pc' data-mce-href='../nvidia-rtx-ai-pc'>learn more here</a>!</p><p><br data-mce-bogus='1'></p><p><br data-mce-bogus='1'></p>"}],"big_image_path":"embracing-ai-with-nvidia-rtx-big.jpg","mid_image_path":"embracing-ai-with-nvidia-rtx-mid.jpg","small_image_path":"embracing-ai-with-nvidia-rtx-small.jpg","created":"2024-10-29T18:39:02.330Z","updated":"2024-10-29T18:39:02.330Z","__v":0}