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]

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 ...

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]

The NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created, redefining performance and capability for professionals. Dominate the most advanced models and tackle the most demanding creative workflows with unmatched AI processing power. Learn more: https://nvda.ws/3UhdRDK #NVIDIARTXPRO ...

Event & Technology Focus - NVIDIA AI research leaders will discuss the next frontier in computer graphics and physical AI at SIGGRAPH 2025 [1] - The event will highlight physical AI and NVIDIA Omniverse [1]

being a part of NVIDIA's Inception program provides us well I'm partly with just the credibility of partnering with the leader in AI software and infrastructure but additionally it puts us at the forefront of understanding the technology as it stands now what's coming around the corner primer was built to close the growing gap between the amount of data organizations need and the difficulty in detecting the risk and intelligent signals buried within that immense amount of information that gap that difficult ...

Learn how NVIDIA Certification can support your personal career or team goals in this webinar with NVIDIA Certification experts as they share preparation exam tips, upcoming and new certification exams. Learn more about certification: https://nvda.ws/4me9kho ...

Industry Trends - Minimally invasive surgery is evolving from manual laparoscopy to telerobotic approaches [1] - The future of surgery is envisioned as a continuum of robotic, digital, and AI-informed solutions [2] - Simulation is becoming essential for training surgeons, especially for younger generations, and for simulating accidents and variations [5] Technological Advancements - Partnership with Nvidia accelerates development and enhances feasibility of surgical features [2] - AI is deemed necessary for making significant advancements in surgery [5] - Simulated environments are crucial for achieving proficiency and safety levels required for commercial products [3] Surgeon Well-being - Robotic systems offer the advantage of improving surgeon well-being [4] - Robotic assistance transforms demanding surgical experiences into ones that leave surgeons free of pain [4] Laparoscopy Challenges - Traditional laparoscopy can be terribly fatiguing for surgeons due to the need to control instruments and assistants [3]