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As a nonprofit corporation, MITER is chartered to deliver solely for the public interest. In order to do a better job serving that public, we needed to reach out to the leading technology companies in the world. And Nvidia was identified as one of those leading technology companies.We realized that there was a massive growing demand for compute capacity around artificial intelligence. We felt that it was important to make an investment and that investment is in a one scalable unit in video reference super p ...

[Music] Hello, Sigraph. It's great to be with you. So, today we're going to talk about simulation.AI is transforming graphics and graphics is transforming AI. The next is the physical AI. Everything that moves is going to be a robot.So where do you go from here. What comes next. We believe we are now in graphics 3.0%.The field is wide open for fundamental breakthroughs again. And because digital twins and virtual worlds are so foundational to physical AI and the future of robotics, I expect to see an explos ...

Infrastructure & Scalability - Requires diligence and proof of concept phases before deployment to address scaling issues in development and technology [1] - Needs improvement and scaling of backend testing to meet end-user expectations [1] - GPU acceleration is a growing need for teams to provide better testing coverage [2] - NVIDIA vGPU solution is considered the best option for addressing GPU needs in the market [2] Efficiency & Cost Savings - Infrastructure improvements enable faster validation for level design, UI, and textures [3] - Significant improvements in power draw efficiency translate to data center savings [3] - New infrastructure facilitates easier management of more devices within the CICD system [3] Business Impact - Central Technology team's efforts are focused on supporting game studios [4] - Improved infrastructure contributes to meeting user needs more effectively [4]

Hey everyone, my name is Sabor Mirzot and I'm a workflow specialist at Nvidia. In my free time, I do a lot of different fun productions. In this case, I wanted to start up a podcast with my buddy Doug and we're going to talk about a bunch of fun stuff like tech, cars, and everything in between.So, let's jump into how this podcast is actually assembled. As you can see, I use four cameras, one for each person, a wide shot and a specialty shot. And here's the key part.They're all capable of recording in 42:2 4 ...

AI is essential infrastructure like electricity and the Internet. This revolution is powered by the GPU, the heart of a new type of computing. One that could solve problems normal computers can't.And it started with graphics. The detail that our eye can see is extraordinary. And what creates the appearance of what we see in our everyday world are these incredible details that you get when you look up close at something.It's all of that together is what makes something look real. To have computer graphics sc ...

The world is entering the era of physical AI, transforming the way we move and simulation is driving the field's latest advances. To test autonomous vehicles, real world data is transformed into Gaussianbased 3D scenes using omniverse neural reconstruction or newre converting video into photorealistic digital environments. The reconstructed scenes are then simulated with variations to assess the AI drivers ability to generate safe trajectories.Physical AI isn't just driving on roads. It's operating in kitch ...

Robotics has captured our imagination. Building a truly intelligent robot requires a large amount of training data. But capturing realworld training data or manually creating enough synthetic data is expensive and timeconuming.By combining computer graphics with AI, we can help robots learn faster and better understand the real world. NVIDIA Cosmos is a world foundation model platform built for developers to generate the required training data at an industrial scale. Cosmos Predict generates realistic train ...

[Music] Digital twins are vital for the training and testing of physical AI that can understand and perform complex actions in the real world. But today, building digital twins is slow and tedious. Often starting with 3D models missing the detailed materials needed for training safe, efficient physical AI systems.NVIDIA's latest generative AI research empowers developers to transform the workflows of the designers and engineers at the heart of these efforts. Soon 3D experts will select models inside their p ...

Everything we do has to go through a diligence phase or a proof of concept phase before it gets to deployment. We face issues of scale pretty much in every area of our development, our technology stack. In order to meet that end user expectation of scale, we need to improve and scale up how we test everything on the back end.The growth in the need to have a GPU as part of your CI/CD infrastructure meant that we spent a lot of time evaluating a lot of different solutions. We had a fleet that initially starte ...