Learn about using GPU acceleration, AI, and advanced hardware to enhance your content creation experience.Stay tuned for the AI ​​MV co-creation project at the Adobe MAX Creative Conference.

When inspiration strikes, there's nothing more frustrating than a stuck tool or a frozen timeline.Creative applications should be fast and fluid, an extension of your imagination, following every flash of inspiration.NVIDIA RTX GPUs are supported by the NVIDIA Studio platform, accelerating creative ideas and making the creative flow intuitive and smooth.

GeForce RTX 50 Series GPUs are designed to accelerate creative workflows, equipped with fifth-generation Tensor Cores to efficiently handle complex AI tasks, fourth-generation RT Cores to improve 3D rendering performance, and upgraded NVIDIA encoders and decoders to optimize video editing and live streaming experiences.

NVIDIA Studio provides creators with a set of technologies and tools to optimize content creation workflows, helping users fully utilize the performance potential of RTX hardware, including RTX optimization that improves operating efficiency for more than 135 creative applications, as well as exclusive features such as NVIDIA Broadcast, RTX Video, DLSS, and NVIDIA Studio drivers that are regularly updated and continuously improve stability.All technologies start from the underlying architecture to provide the best content creation experience.

At last week's Adobe MAX creative conference, NVIDIA demonstrated a number of NVIDIA Studio platform optimizations for Adobe creative applications, such as new GPU-accelerated effects in Adobe Premiere.

At the NVIDIA booth, visitors were invited to participate in the creation of the MV, using the AI ​​capabilities in Adobe Premiere or Photoshop to customize the image, and ultimately present a unique MV co-created by the live audience, with a professionally produced original soundtrack and accelerated by a GeForce RTX PC.

Read on to learn how GPU acceleration and AI can enhance and accelerate content creation.

Next-generation tools for creators

A new generation of visually generative AI tools is changing the way creators work, streamlining processes and mitigating repetitive work.For example, use generative AI to fill and redraw the background, or automatically generate additional content for videos with imperfect compositions.

These tools allow independent creators to take on ambitious projects that were once only possible for large studios.Creators can quickly prototype and try out multiple ideas.Previously, this creative method was often limited because it was too time-consuming.

These new models and tools have two core requirements for hardware: enough performance to quickly iterate on ideas, and compatibility with the latest tools and models from release, so you can test them without waiting.GeForce RTX 50 series GPUs perfectly meet these two needs. They are the fastest hardware to run complex AI models, and NVIDIA CUDA also supports the widest ecosystem of tools and models.

Popular AI models like Stable Diffusion 3.5 and FLUX.1 Kontext [dev] run up to 17x faster on the GeForce RTX 5090 laptop GPU compared to the Apple M4 Max.

Editing, color grading, creation

The performance of modern cameras has improved significantly, and amateur video creators also use high-quality 4K and 8K footage in 4:2:2 format.These materials contain rich picture information, but are also significantly more difficult to decode.Video editing software is also constantly introducing various AI editing tools, making it easier to add advanced special effects.Major platforms tend to push frequently updated video content, requiring creators to publish content faster.

GeForce RTX GPUs solve these challenges.Its hardware decoder handles high-resolution 4:2:2 video footage directly without spending hours transcoding or creating proxy files.GeForce RTX GPU’s exclusive Tensor Cores accelerate AI special effects processing.Multiple next-generation encoders can work in parallel, speeding up video export from hours to minutes.

Laptops powered by GeForce RTX can run AI effects up to 2x faster in apps like DaVinci Resolve compared to MacBook Pro laptops.

Smarter live streaming

Learning live streaming from scratch is not easy.Live streaming requires a high-performance device to ensure the smooth running of the game while often pushing streams to multiple platforms.Live streaming also requires high-quality microphones and cameras, as well as a dedicated space with good lighting conditions.The difficulty in learning live broadcasting is to take into account chat interaction and content production while playing games.

To lower the threshold for live streaming, GeForce RTX GPU has a dedicated hardware encoder (NVENC), which releases video encoding tasks from the CPU and GPU, freeing up more system resources to maximize game performance.This encoder is deeply optimized for live streaming and can provide industry-leading image quality performance.GeForce RTX 40 and 50 series GPUs support the cutting-edge video encoding format AV1, improving compression efficiency by approximately 40%.For users who do not have a professional live broadcast room or high-end equipment, the NVIDIA Broadcast application can add AI special effects to microphones and cameras to enhance the recording quality of the equipment.This app can eliminate background noise, add special effects to people's videos, use virtual fill light effects on faces, and improve audio quality through AI to achieve professional microphone-like sound quality.

Professional anchors usually have a team to assist with production, operations and review work.NVIDIA partnered with Streamlabs to develop Streamlabs Intelligent Streaming Agent, an AI agent that can join a live broadcast as an assistant, manage the production of scenes, audio and video cues, and even assist with IT issues.

Create a world with inspiration

3D modelers and animators often work on huge scenes that consume a lot of computing power.To streamline complex and cumbersome workflows, they needed high-performance systems that could preview their work in real time and automate tasks.

NVIDIA offers a three-step approach to accelerating content creation.

First, GeForce RTX GPUs deliver the most powerful 3D rendering performance, with dedicated RT Cores that perform lighting calculations with ray tracing.Next, the NVIDIA Optix Software Development Kit helps maximize hardware performance and speeds up image parsing with AI noise reduction while complete rendering in the background.Finally, NVIDIA DLSS technology can create low-resolution input into high-resolution images, while using frame generation technology to increase frame rates and enhance viewport performance.

This makes rendering extremely efficient, allowing artists to preview their work in real time, smoothly manipulate the 3D viewport at high frame rates, and speed up exports, unlocking real-time 3D streaming experiences for VTubing and virtual reality.

3D artists are already experimenting with a variety of techniques to automate the content creation process, such as using AI to optimize textures, generate background objects, or complete animations.

NVIDIA accelerates these workflows by optimizing the core technology that runs popular tools like ComfyUI.NVIDIA also provides reference workflows, such as NVIDIA AI Blueprint for 3D object generation, that show how these models can be applied in series, such as building a custom 3D model library for rapid prototyping.

The NVIDIA RTX Remix MOD platform helps remaster classic games, providing a complete set of tools for importing and enhancing objects, editing levels, and publishing MODs.The platform is built by NVIDIA in cooperation with the active MOD creation community, and has led to the birth of amazing projects such as "Half-Life 2 RTX" and "Portal RTX".

#Don’t miss it — the latest developments in NVIDIA RTX AI PC

DGX Spark for global AI developers is officially released.

NVIDIA DGX Spark delivers 1 PFLOPS of AI performance and 128GB of unified memory in a compact body, giving developers the ability to locally run AI model inference with up to 200B parameters and fine-tune models with up to 70B parameters.

Ollama launches new Internet web search API to achieve higher model quality on RTX.

This new API allows users to feed local models with real-time information from the Internet, resulting in more timely and relevant answers.

AnythingLLM now supports Windows Foundry Local, enabling local inference on RTX AI PCs.

Windows Foundry Local in AnythingLLM provides users with another option for fast inference.Foundry Local leverages the NVIDIA TensorRT-RTX inference engine on NVIDIA RTX GPUs for acceleration.

For relevant information about NVIDIA RTX AI PC, please follow the official accounts on Weibo, Douyin and Bilibili.