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Home exhibition

NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.

Author: Mash Yang
2024-07-30
in exhibition, Market dynamics, Life, network, software
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Announced this year during Computex 2024Promote the Omniverse digital twin platform in the form of APIAfter allowing Apple's Vision Pro to integrate Omniverse computing resources, NVIDIA announced at SIGGRAPH 2024 in Denver that Vision Pro application service developers would have early access to testing. It also announced that NVIDIA NIM microservices can be used in conjunction with OpenUSD LLM, 3D, physics, materials and other automatically generated artificial intelligence tools, so that they can be used in more industry fields, such as robotics, industrial design and engineering applications.

NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.
▲NVIDIA promotes the development of OpenUSD industry standards with NIM microservices and promotes the growth of industries such as robotics by combining it with the Omniverse platform

In the past, although developers and businesses have been able to create various types of graphic content through automatic generative AI tools, the generated content is often difficult to control and cannot expand other application possibilities. However, when combined with the Omniverse digital twin platform and NVIDIA NIM microservices, the generation of images, 3D content, videos and other materials by automatic generative AI tools can become more controllable, and greater application output value can be created by integrating material resources.

In the recent OpenUSD AllianceAnnounceWith the addition of DigitalFish, Hunan Mango Innovation Technology, Microsoft, and Sony Group as new members, NVIDIA anticipates that by combining the Omniverse platform with NIM microservices, more and more industries will be able to use OpenUSD resources and artificial intelligence technology to create more digital image content. This content will be used for content creation, digital virtual environment construction, and even application scenarios such as self-driving cars and robots driven by artificial intelligence training.

NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.
WPP is using the NVIDIA Omniverse platform combined with NVIDIA NIM microservices to help its client Coca-Cola use automated generative AI technology to promote its brand.

NVIDIA NIM microservices enable greater control over the content generated by generative AI technology. This means developers and businesses can more efficiently generate the required materials through self-generated AI, and then more quickly build the required digital simulation environments through the Omniverse platform. In this environment, they can construct 3D scenes, plan various engineering workflows, and meet different industrial design requirements. They can even build simulation environments for training self-driving cars and robots, thereby promoting the growth of more emerging technologies through virtualization technology.

For example, WPP is currently using the NVIDIA Omniverse platform combined with NVIDIA NIM microservices to help its client Coca-Cola promote its brand with automatically generated artificial intelligence technology.

NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.
▲Build a digital environment faster through the OpenUSD specification
NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.
▲At SIGGRAPH 2024, the NVIDIA Research team also demonstrated how to construct city-scale 3D models using the fVDB framework and generate larger spatial scale and higher resolution images using NeRF neural networks.

NVIDIA boasts that these applications can drive the growth of bionic robotics technology, particularly accelerating the market entry of various types of robots modeled after humans. By constructing more detailed digital simulations, and even through human manipulation in 3D virtual environments, bionic robots can be trained to perform "behaviors" more in line with human operations, such as performing subtle movements like picking up toasted toast with fingers, thereby accelerating the market entry of bionic robots.

NVIDIA is using NIM microservices to promote the development of OpenUSD industry standards and is integrating it with the Omniverse platform to promote the growth of industries such as robotics.
▲ Rapid training in a digital environment accelerates the time it takes for bionic robots to enter the market.
Tags: Humanoid RoboticsmicroservicesNvidiaNVIDIA NIMomniverseOpenUSDSIGGRAPHSIGGRAPH 2024Bionic robotsmicroservices
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Mash Yang

Mash Yang

Founder and editor of mashdigi.com, and student of technology journalism.

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