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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 ...

Industry Trend - AI is transforming graphics, and graphics is transforming AI, leading to the emergence of physical AI [1] - The field is open for fundamental breakthroughs, especially in digital twins and virtual worlds, which are foundational to physical AI and robotics [2] - The industry is now in graphics 3.0 [1] Future Outlook - Expect an explosion of new ideas related to digital twins and virtual worlds at Siggraph in the coming years [2] - Everything that moves is going to be a robot [1]

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]

Performance Improvement with RTX Pro Blackwell GPUs - RTX Pro Blackwell GPUs significantly improve the speed and efficiency of video editing workflows, eliminating the need for rendering or creating proxies [3][4] - The GPUs enable real-time editing of up to nine streams of 4K footage at 60 frames per second [5] - Encoding speed is dramatically improved with the RTX Pro 6000 Blackwell Workstation Edition's four 9th generation encoders [9] Key Features and Technologies - The GPUs support 4:2:2 10-bit color, providing more precise color information for color grading [2][3][8][9] - Up to 96 GB of ultra-fast GDDDR7 memory on the RTX Pro 6000 Blackwell Workstation Edition facilitates handling high-resolution, high bit depth files [3][9] - New AV1 Ultra quality mode pushes encoding quality to the limit for final exports [9] AI-Powered Editing Capabilities - AI-powered effects, such as Da Vinci's audio transcribe feature, streamline and accelerate the editing workflow by automatically removing pauses and stutters [5] - AI-powered video searching in Adobe Premiere allows users to quickly find relevant clips by searching for specific people or objects [6] - The GPUs enable running the latest generative AI models directly on the workstation, allowing for AI-generated content creation [7]

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 ...

Physical AI & Simulation Advancements - Physical AI is transforming movement across various sectors [1][2] - Simulation is a key driver of advancements in physical AI [1] - Real-world data is converted into Gaussian-based 3D scenes for autonomous vehicle testing [1] - Omniverse neural reconstruction or Newrec converts video into photorealistic digital environments [1] Newrec & Generative AI Capabilities - Newrec enables rapid, high-fidelity real-time rendering of simulations [3] - Physics capabilities in Newrec bring realistic interaction to 3D Gaussian scenes [3] - Generative AI uses visual properties in simulations to add diversity and scale scenes [3] - Newrec and Cosmos can generate 3D simulation environments from text prompts [4] Applications & Future - Neural reconstruction is advancing physical AI [4] - Newrec and Cosmos refine testing and validation for next-generation robotics [4]

Core Technology & Solution - NVIDIA Cosmos is a world foundation model platform designed for developers to generate training data at an industrial scale [2] - Cosmos Predict generates realistic training data from an initial observation, creating diverse action variations using text prompts or action triggers [2] - Cosmos supports multi-view outputs, providing different perspectives from a single frame, which is especially useful for autonomous vehicles and multi-camera robots [3] - Cosmos Transfer applies appearance variations to 3D renders or real-world video, adjusting materials, lighting, weather, and environments to train models that generalize across domains while preserving physical accuracy [3] - Cosmos Reason, a vision language model, filters low-quality samples, annotates scenes, and supports policy training, enabling safe, efficient decision-making [4] - Cosmos World Foundation models are adaptable and can be post-trained to fit different sensors and perspectives [5] Industry Application & Impact - The fusion of AI and computer graphics, exemplified by Cosmos, enables robots and autonomous machines to safely operate in the real world [5] - The technology addresses the challenge of expensive and time-consuming real-world training data capture or manual synthetic data creation for robotics [1]

Digital Twin Development - Digital twins are crucial for training and testing physical AI, enabling complex real-world actions [1] - Current digital twin creation is slow and tedious, often lacking detailed materials for safe AI training [1] - NVIDIA's research empowers developers to transform design and engineering workflows using generative AI [2] - AI assistants, combining NVIDIA Cosmos World Foundation models and rendering technologies, generate base materials with realistic visual details [2] - Experts fine-tune materials to enhance realism, adding details that better reflect the real world [3] - Seamless collaboration transforms 3D models into physically accurate digital twins for simulating autonomous systems [3] - These advancements bring developers closer to AI-assisted workflows for accelerating digital twin development and safe physical AI [3]

Infrastructure & Scalability - Requires rigorous diligence and proof of concept phases before deployment [1] - Faces scalability challenges across the technology stack to meet end-user expectations [1] - Needs to improve backend testing to support scalability [1] - Sees GPU-accelerated workloads as increasingly important for comprehensive testing coverage [2] - Considers NVIDIA VGP solution as the optimal choice for addressing GPU needs [2] Efficiency & Cost Savings - Infrastructure improvements accelerate validation for level design, UI, and texture work [3] - Observes significant power draw efficiency gains, translating to data center savings [3] Management & User Needs - New infrastructure simplifies management of a growing number of devices [4] - Enhanced ability to meet user needs [4] - Central technology team focuses on supporting game studios [4]