{"id":3873,"date":"2025-01-30T14:54:13","date_gmt":"2025-01-30T14:54:13","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/01\/30\/lights-camera-action-new-nvidia-broadcast-ai-features-now-streaming-with-geforce-rtx-50-series-gpus\/"},"modified":"2025-01-30T14:54:13","modified_gmt":"2025-01-30T14:54:13","slug":"lights-camera-action-new-nvidia-broadcast-ai-features-now-streaming-with-geforce-rtx-50-series-gpus","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/01\/30\/lights-camera-action-new-nvidia-broadcast-ai-features-now-streaming-with-geforce-rtx-50-series-gpus\/","title":{"rendered":"Lights, Camera, Action: New NVIDIA Broadcast AI Features Now Streaming With GeForce RTX 50 Series GPUs"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

New GeForce RTX 5090<\/a> and RTX 5080<\/a> GPUs \u2014 built on the NVIDIA Blackwell<\/a> architecture \u2014 are now available to power generative AI content creation and accelerate creative performance<\/a>.<\/p>\n<\/p>\n

GeForce RTX 5090 and RTX 5080 GPUs feature fifth-generation Tensor Cores with support for FP4, reducing the VRAM requirements to run generative AI models while doubling performance. For example, Black Forest Labs\u2019 FLUX models \u2014 available on Hugging Face<\/a> this week \u2014 at FP4 precision require less than 10GB of VRAM, compared with over 23GB at FP16. With a GeForce RTX 5090 GPU, the FLUX.1 [dev] model can generate images in just over five seconds, compared with 15 seconds on FP16 or 10 seconds on FP8 on a GeForce RTX 4090 GPU.<\/p>\n

GeForce RTX 50 Series GPUs also come equipped with ninth-generation encoders and sixth-generation decoders that add support for 4:2:2 and increase encoding quality for HEVC and AV1. Fourth-generation RT Cores paired with DLSS 4 provide creators with super-smooth 3D rendering viewports.<\/p>\n

\n

\u201cThe GeForce RTX 5090 is a content creation powerhouse.\u201d<\/i> \u2014 PC World<\/a><\/p>\n<\/div>\n

The GeForce RTX 5090 GPU includes 32GB of ultra-fast GDDR7 memory and 1,792 GB\/sec of total memory bandwidth \u2014 a 77% bandwidth increase over the GeForce RTX 4090 GPU. It also includes three encoders and two decoders, reducing export times by a third compared with the prior generation.<\/p>\n

The GeForce RTX 5080 GPU features 16GB of GDDR7 memory, providing up to 960 GB\/sec of total memory bandwidth \u2014 a 34% increase over the GeForce RTX 4080 GPU. And it includes two encoders and two decoders to boost video editing workloads.<\/p>\n

\n

\u201cThe NVIDIA GeForce RTX 5080 FE is notable on its own as a viable powerhouse option for any creative pro\u2026\u201d<\/i> \u2014 Creative Bloq<\/a><\/p>\n<\/div>\n

The latest version of the NVIDIA Broadcast app is now available, adding two new beta AI effects \u2014 Studio Voice and Virtual Key Light \u2014 and improvements to existing ones, along with an updated user interface for better usability.<\/p>\n

In addition, the January NVIDIA Studio Driver with support for the GeForce RTX 5090 and 5080 GPUs is ready for installation today. For automatic Studio Driver notifications, download<\/a> the NVIDIA app<\/a>, including an update for RTX Video Super Resolution \u2014 expanding the lineup of GeForce RTX GPUs that can run RTX Video Super Resolution<\/a> for higher-quality video.<\/p>\n

Use the GeForce RTX graphics card product finder<\/a> to pick up GeForce RTX 5090 and RTX 5080 GPUs or a prebuilt system today.<\/p>\n

Lights, Camera, Broadcast<\/b><\/h2>\n

The latest NVIDIA Broadcast app release features two new AI effects \u2014 Studio Voice and Virtual Key Light \u2014 both currently in beta.<\/p>\n

Studio Voice enhances a user\u2019s microphone to match that of a high-quality microphone. Virtual Key Light relights subjects to deliver even lighting, as if a physical key light was defining the form and dimension of an individual. The new effects require a GeForce RTX 4080 or 5080 GPU or higher, and are designed for chatting streams and podcasts \u2014 these are not recommended for gaming.<\/p>\n

The app update also improves voice quality with the Background Noise Removal feature, adds gaze stability and subtle random eye movements for a more natural appearance with Eye Contact, and improves foreground and background separation with Virtual Background.<\/p>\n

\"\"<\/a>
The updated NVIDIA Broadcast app interface.<\/figcaption><\/figure>\n

There\u2019s also an updated user interface that allows users to apply more effects simultaneously and includes a side-by-side camera preview option, a GPU utilization meter and more.<\/p>\n

Developers can integrate these effects directly into applications with NVIDIA Maxine Windows software development kits (SDKs)<\/a> or by accessing them as an NVIDIA NIM microservice<\/a>.<\/p>\n

The updated NVIDIA Broadcast app is available for download<\/a> today.<\/p>\n

Accelerating Creative Workflows<\/b><\/h2>\n

For video editors, all GeForce RTX 50 Series GPUs include 4:2:2 hardware support and can decode a single video source at up to 8K at 75 frames per second (fps) or nine video sources at 4K at 30 fps per decoder, enabling smooth multi-camera video editing.<\/p>\n

\n

\u201cThe GeForce RTX 5090 is currently unmatched in the consumer GPU market \u2014 nothing can touch it in terms of performance, with virtually any workload \u2014 AI, content creation, gaming, you name it.\u201d <\/i>\u2014 Hot Hardware<\/a><\/p>\n<\/div>\n

The GeForce RTX 5090 is equipped with three encoders and two decoders. These multi-encoder and -decoder setups enable the GeForce RTX 5090 GPU to export video 40% faster than the GeForce RTX 4090 GPU and at 4x speed compared with the GeForce RTX 3090 GPU.<\/p>\n

GeForce RTX 50 Series GPUs also feature the ninth-generation NVIDIA Encoder (NVENC) with a 5% improvement in video quality on HEVC and AV1 encoding. The new AV1 Ultra Quality mode achieves 5% more compression at the same quality versus the previous generation, and the sixth-generation NVIDIA decoder achieves 2x decode speeds for H.264 over the prior version. The AV1 Ultra Quality mode will also be available to GeForce RTX 40 Series users.<\/p>\n

Video editing applications Blackmagic Design\u2019s DaVinci Resolve and Wondershare Filmora have integrated these technologies.<\/p>\n<\/p>\n

Livestreamers also benefit from the ninth-generation NVENC with a 5% video quality improvement for HEVC and AV1 \u2014 meaning that video quality looks like it used 5% more bitrate \u2014 in Twitch with the Twitch Enhanced Broadcasting beta, YouTube or Discord. This improvement is measured using BD-BR PSNR, the standard for measuring video quality by comparing what bitrate matches the same video quality between two encoders.<\/p>\n

3D artists benefit from the 32GB of memory in GeForce RTX 5090 GPUs, allowing them to work on massive 3D projects and across multiple platforms simultaneously with smooth viewport movement. GeForce RTX 50 Series GPUs with fourth-generation RT Cores run 3D applications 40% faster.<\/p>\n<\/p>\n

DLSS 4<\/a> is now available in D5 Render<\/a> and is coming in February to Chaos Vantage, two popular professional-grade 3D apps for architects, animators and designers. D5 Render will support DLSS 4\u2019s new Multi Frame Generation feature to boost frame rates by using AI to generate up to three frames per rendered frame. This enables animators to smoothly navigate a scene with 4x as many frames, or render 3D content at 60 fps or more.<\/p>\n

Developers can learn more<\/a> about integrating these new tools into their apps via SDKs.<\/p>\n

Stay tuned for more updates on the GeForce RTX 50 Series, app performance and compatibility<\/a>, and emerging AI technologies.<\/p>\n

Every month brings new creative app updates and optimizations powered by the <\/i>NVIDIA Studio<\/i><\/a>. <\/i>Follow NVIDIA Studio on <\/i>Instagram<\/i><\/a>, <\/i>X<\/i><\/a> and <\/i>Facebook<\/i><\/a>. Access tutorials on the <\/i>Studio YouTube channel<\/i><\/a> and get updates directly in your inbox by subscribing to the <\/i>Studio newsletter<\/i><\/a>.\u00a0<\/i><\/p>\n

See <\/i>notice<\/i><\/a> regarding software product information.<\/i><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/studio-ai-geforce-rtx-50-series-broadcast\/<\/p>\n","protected":false},"author":0,"featured_media":3874,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3873"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3873"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3873\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3874"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3873"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3873"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3873"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}