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When inspiration strikes, nothing kills momentum faster than a slow tool or a frozen timeline. Creative apps should feel fast and fluid — an extension of imagination that keeps up with every idea. NVIDIA RTX GPUs — backed by the NVIDIA Studio platform — help ideas move faster, keeping the process smooth and intuitive.
GeForce RTX 50 Series GPUs are designed to accelerate creative workflows, with fifth-generation Tensor Cores engineered for demanding AI tasks, fourth-generation RT Cores for 3D rendering, and improved NVIDIA encoders and decoders for video editing and livestreaming.
NVIDIA Studio is a collection of technologies to optimize content creation workflows that helps extract maximum performance from RTX hardware. This includes RTX optimizations in 135+ creative apps for higher performance, exclusive features like NVIDIA Broadcast, RTX Video and DLSS, alongside NVIDIA Studio drivers that provide more stability on a predictable cadence. Everything is engineered from the ground up to deliver the best content creation experience.
At the Adobe MAX creativity conference last week, NVIDIA showcased some of the latest NVIDIA Studio optimizations in Adobe creative apps, such as the new GPU-accelerated effects in Adobe Premiere.
Attendees at the NVIDIA booth were invited to make their mark on an original music video — customizing frames using AI features in Adobe Premiere or Photoshop. The result: a one-of-a-kind, crowdsourced music video — professionally produced with an original soundtrack and accelerated by GeForce RTX PCs.
Read on to learn how GPU acceleration and AI enhance and speed up content creation.
A new generation of visual generative AI tools are transforming how creators work, simplifying workflows and offloading tedious tasks. Such tasks include using generative AI fill to repaint a background or generating additional pixels to fix video footage that’s incorrectly framed.
These tools let individual creators attempt ambitious projects that previously could only be accomplished by large studios. Artists can quickly prototype and test multiple ideas — a process previously too time-consuming and hence limited in scope.
These new models and tools have two requirements: fast hardware to iterate on ideas quickly, and compatibility with the latest models and tools from day 0, so there’s no wait to test them. GeForce RTX 50 Series GPUs offer an ideal solution for both, as they’re the fastest hardware at running demanding AI models, and NVIDIA CUDA offers the broadest ecosystem support for tools and models.
Popular AI models like Stable Diffusion 3.5 and FLUX.1 Kontext [dev] run up to 17x faster with the GeForce RTX 5090 Laptop GPU compared with the Apple M4 Max.
Modern cameras have improved significantly so that even aspiring video editors are now working with high-quality, 4:2:2 4K and 8K content. Such content is rich in quality but hard to decode. Video editing apps have added a slew of AI editing tools that make adding advanced effects easier. And the speed required to publish new content has increased as platforms favor more recurrent video publishing.
GeForce RTX GPUs tackle each of these issues. Their hardware decoders enable editing high-resolution 4:2:2 clips without needing to spend hours transcoding or creating proxies. GeForce RTX GPUs also accelerate AI effects with their dedicated Tensor Cores. Plus, having multiple next-generation encoders that can work in parallel brings down export video tasks from hours to minutes.
Compared with MacBook Pro laptops, GeForce RTX-equipped laptops run AI effects in apps like DaVinci Resolve up to 2x faster.
Getting started with livestreaming can be difficult, requiring a high-performing system for gaming and encoding — often to multiple streaming platforms; good-quality microphones and cameras; and a dedicated space with proper lighting. And learning how to stream is difficult as it requires juggling gameplay, a buzzing chat and stream production.
To help make livestreaming more accessible, GeForce RTX GPUs come equipped with a dedicated hardware encoder (NVENC), which offloads video encoding from the CPU and GPU, freeing up system resources to deliver maximum gaming performance. Plus, this encoder has been highly optimized for livestreaming, providing best-in-class quality. GeForce RTX 40 and 50 Series GPUs have also added support for AV1 — the next-generation video codec that improves compression by 40%.
To help those without access to a dedicated studio or high-end devices, the NVIDIA Broadcast app applies AI effects to microphone and webcam devices, improving their quality. The app can remove background noise, add effects to cameras, relight faces with a virtual key light and process audio through an AI equalizer so it sounds like it was recorded with a professional mic.
To help streamers reach a wider audience, NVIDIA has partnered with OBS and Twitch to make transcoding capabilities more accessible. Instead of relying on server capacity for transcode, users can generate multiple streams locally on their GPU and stream them all to Twitch. This means viewers on a phone can watch a lightweight stream that won’t stutter, while viewers on a TV or desktop can watch at the highest quality. Advanced codecs like HEVC can lead to even higher-quality streams.
Professional streamers often use teams of people to help them manage production, support and moderation. NVIDIA worked with Streamlabs to develop the Streamlabs Intelligent Streaming Agent, an AI agent that can join streams as a sidekick, manage production of scenes, audio and video cues, and even help resolve IT issues.
3D modelers and animators often work within massive scenes that take lots of computational power. To streamline their complex, tedious workflows, they need high-performance systems that allow them to preview their work in real time and automate tasks.
NVIDIA offers a three-step approach to accelerating content creation.
First, creators can use GeForce RTX GPUs, which offer the most performant solution for 3D rendering, with dedicated RT Cores that perform light calculations with ray tracing. Then, the NVIDIA Optix software development kit helps extract maximum performance out of the hardware and adds AI denoising to help images resolve faster — all while the full rendering occurs in the background. Finally, NVIDIA DLSS technology enhances viewport performance by constructing a high-resolution frame from a lower-resolution input, in addition to using frame generation to increase frame rates.
The result is hyper-fast rendering that allows the artist to preview their work in real time, navigate 3D view ports at high frame rates and accelerate exports. Plus, it unlocks real-time 3D use cases for streaming experiences like VTubing and virtual reality.
3D artists are already experimenting with dozens of techniques to help automate content creation workflows — for example, using AI to refine a texture, generate a background object or finish an animation.
NVIDIA helps accelerate these workflows by optimizing the core technologies that run popular tools like ComfyUI. In addition, NVIDIA provides reference workflows like the NVIDIA AI Blueprint for 3D object generation, which showcases how these models can be chained for use cases like building a custom 3D model library for rapid prototyping.
In addition, the NVIDIA RTX Remix modding platform helps remaster classic games — providing a toolset to ingest and enhance objects, edit levels and publish the mod. It’s built in collaboration with a thriving community of modders creating stunning projects such as Half Life 2 RTX and Portal RTX.
✨DGX Spark arrives for the world’s AI developers.
NVIDIA DGX Spark delivers a petaflop of AI performance and 128GB of unified memory in a compact desktop form factor, giving developers the power to run inference on AI models with up to 200 billion parameters and fine-tune models of up to 70 billion parameters locally.
🦙Ollama’s new web search API offers improved model quality on RTX.
This new application programming interface allows users to augment local models with real-time information from the web for current and relevant responses.
🪟 AnythingLLM now supports Windows Foundry Local for on-device inferencing on RTX AI PCs.
Windows Foundry Local within AnythingLLM gives users another fast inferencing solution. Foundry Local uses the NVIDIA TensorRT-RTX execution provider on NVIDIA RTX GPUs.
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