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NVIDIA and 'Omnibus'

A message editor is a kind of computer program that edits simple message. Such programs are in some cases called notepad software program, following the naming of Microsoft Notepad. Text editors are supplied with operating systems as well as software advancement plans, and can be used to alter data such as arrangement data, documents data as well as shows language source code.

[Data provided: NVIDIA]

NVIDIA, a leader in the AI ​​Computing Technology, released a documentary that introduces the GPU Technology Conference Keynote Speech Production Process, which is held online in April.

In NVIDIA's keynote speech, we have demonstrated the latest technology that illuminates the development of NVIDIA, such as supercomputing, deep-run, graphics, and others. GTC, GTC, said, GTC explained that GTC is an opportunity to show the tasks that the NVIDIA engineer and the team have been working throughout a year.

The documentary introduces a way to integrate everything through the NVIDIA Omnibus, which is a tool that connects and builds the method and metaverse of GTC keynote speech creation. In a GTC keynote speech of about 1 hour and 48 minutes, the time of Jensen's founder and CEO, Jensen's founder and CEO, was only 14 seconds.

How to create story with Omnibus

In order to prepare for a kite, close collaboration is needed. The NVIDIA team collaborated with various industrial content production tools such as Autodesk Maya or Substance Painter in different places through Omnibus.

Lev Levlavadian people in all industries are using great tools every day. Through our technology, people expect people to use their tools and reinforced.

This was strengthened through USD (USD), MDL, NVIDIA RTX real-time ray tracing technology. The NVIDIA team has worked together to produce a realistic scene with physically accurate material and lighting.

NVIDIA DGX Station A100 video made by Omnibus

Omnibus can create more in addition to beautiful scenes. Documentary introduces the most complex machines with industrial tools such as Autodesk Maya, Foundry Nuke, Adobe Photoshop, Premiere and Adobe After Effects to create a realistic film by staging and rendering the most complex machines. NVIDIA was able to introduce the inside of the product by producing the CAD model of the NVIDIA DGX Station A100 as a physically accurate virtual replica through the Omnibus.

In general, this type of project takes months to complete, and it takes a few weeks to render. On the other hand, through the Omnibus, one animator could create a video, and the rendering work did not take a day.

Omnibus Physics that accurately implements reality in real time

The NVIDIA Omnibus can model the phenomenon that is applied to the real world based on conventional NVIDIA technology. By way of example, the gaming sector in NVIDIA is used as a major technology for more than 10 years, and the righteousness can be a completely new level when implemented in the Omnibus.

Omnibus engineering and researchers re-renewed the existing physical demo collection on the Omnibus to provide a preview of demonstrations and advanced real-time physics simulation studies that emphasize the function of the physics implemented in the Omnibus.

The demonstration focuses on the main technique of the physical, smoke, and the flexible fluid, smoke, and fire simulation of the rigid body, soft body dynamics, bizarinidies, and flexible fluids, smoke and fire simulations. This allows you to apply physical rule in real time, and you can confirm the core technology of an Omnibus that accurately implements the real world.

NVIDIA drive available on Omnibus

Simulation for the real world is the key to establishing a shoe of new technology, and the Omnibus is essential to the autonomous running initiative of NVIDIA. The Omnibus creates a complete environment that allows you to train all kinds of autonomous machines through physical virtual reality technology.

This year, NVIDIA has used a map around the German Mercedes Benz factory for Omnibus-based drive shim demo implementation, and the same software stack was used to apply to the autonomous travel carriage of NVIDIA to show a variety of autonomous functions to carry out the next generation Mercedes Benz automobile. NVIDIA was able to quickly test light, weather and traffic situations through drive shims and showed the results all over the world.

BMW group, build a future factory through Omnibus

'Digital Twin' affects most of the industries. In GTC, a great visual effect that demonstrates how Digital Twin is applied to the automotive industry.

Germany BMW Group's Future Factory Demo shows the digital twin of the BMW assembly factory that defines all the details, including layout, lighting and machinery.

Such 'digital simulation' provides a very high fidelity and provides accurate real-time factory simulation. BMW reconstructs the assembly line through digital simulations to optimize all aspects of plant operations by optimizing the safety and efficiency of the worker and training the robot in the factory.

Virtual kitchen, virtual CEO

NVIDIA replicated the kitchen to the background of Jenson Huang CEO in three times, and Digital replication of Jensen Huang CEO was also introduced. This is the most perfect example of the technology that GTC is representative, and is the result of combining the work of the Deep Leaving and Graphics Research team with several engineering teams and in-house creative teams.

To make Digital replication of Jensen Huang CEO, NVIDIA has scanned the whole face and body to create a 3D model, and then applied a variety of technologies to AI, which has been trained to imitate the gestures and faces, and added reality.

Since then, the Kitchen, Jensen Huang CEO in the video was dismantled and revealed the Holodec's Holodec, and many viewers were amazing, and at the same time, they asked where the video was real and rendered.

The Omnibus said, The Omnibus was one of the platforms that NVIDIA has been building a priority, We started building an Omnibus to use a variety of ideas to connect existing 3D tools to implement metaverse.

In the future, the build of the Omnibus will be accelerated through collaboration with more. If we have developed the Omnibus related technology properly, we will work in Omnibus after 20 years, he said.

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