Nvidia revolutionizes 3D with AI microservices around Pixar's open standard!
Nvidia recently unveiled AI microservices incorporating the OpenUSD language, a major innovation for digital twin development and 3D simulation. This advancement promises to transform industries beyond the creative sectors, paving the way for new robotics and industrial applications.
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Nvidia has taken another step forward by integrating the OpenUSD language into its NIM microservices, which are designed for artificial intelligence model inference. This update now makes it possible to generate OpenUSD Python code based on user queries, apply materials to 3D objects, and better understand 3D space and physics. By broadening the adoption of this standard, Nvidia hopes that more companies will adopt this technology developed by Pixar for the creation of complex virtual scenes.
The strategic alliance for the future of the OpenUSD standard
About a year ago, Nvidia teamed up with giants like Pixar, Adobe, Apple, and Autodesk to push the development of Universal Scene Description (USD). This technology, developed by Pixar, makes it possible to describe, assemble, exchange, and modify complex virtual scenes between various digital creation tools. Nvidia’s NIM microservices are part of this strategy, offering a library of pre-trained LLM models designed to automate the deployment and execution of inference for generative AI applications on Nvidia GPUs, whether on-premises or in the cloud.
Microservices in preview for simplified integration
Nvidia already has several OpenUSD-compatible NIM microservices in preview. Among them, the USD Code NIM microservice automatically generates OpenUSD-Python code from prompts, allowing results to be visualized in applications such as Pixar or Nvidia’s Omniverse kit. In addition, the USD Search NIM allows searching in OpenUSD, 3D, and image data libraries using natural language queries or images. Finally, the USD Validate NIM ensures that uploaded files are compatible with the OpenUSD standard, ensuring maximum interoperability.
Towards even more efficient microservices
Nvidia doesn't plan to stop there. The company plans to launch new NIM microservices that can assemble 3D elements from prompts, predict and apply realistic material renderings to CAD-designed objects, and even generate 3D environments by simulating the laws of physics. These innovations promise to improve the quality of simulations, making digital twins and virtual environments even more realistic and functional.
Applications beyond the creative world
Until now, digital worlds have been primarily exploited by the creative industries. However, with the new capabilities brought by Nvidia’s NIM microservices, these technologies are now extending to other industrial sectors. This includes the development of industrial digital twins and robotic systems, allowing companies of all kinds to build virtual worlds based on precise physical laws. Nvidia aims to democratize these tools to stimulate innovation on an industrial scale.
Accelerating innovation in industries
Integrating NIM microservices into OpenUSD workflows aims to accelerate innovation across various industries. By facilitating the creation of digital twins and 3D simulations, Nvidia offers companies the ability to test, improve, and optimize their products in virtual environments before moving to real production. This not only reduces costs, but also the time it takes to bring more capable products to market.
Towards a new era of artificial intelligence
With these advances, Nvidia positions itself as an undisputed leader in the field of 3D simulation and artificial intelligence. NIM microservices, coupled with the OpenUSD standard, pave the way for a new era where virtual worlds become essential tools for innovation. By integrating advanced AI technologies, Nvidia is transforming industrial processes, making possible what was once science fiction.
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This article explores how Nvidia, by integrating the OpenUSD standard into its NIM microservices, is revolutionizing the field of 3D simulation and digital twin development. These innovations promise to accelerate the adoption of cutting-edge technologies across various industries, paving the way for a new era of industrial innovation and optimization.
Source: Nvidia