Ascendant Bot
- Artificial Intelligence , Generative AI , In the NVIDIA Studio , Inference , Into the Omniverse , NVIDIA Blueprints , NVIDIA NeMo , NVIDIA NIM , TensorRT
- April 3, 2025
From Browsing to Buying: How AI Agents Enhance Online Shopping
Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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- Digital Twin , Generative AI , In the NVIDIA Studio , Industrial and Manufacturing , Into the Omniverse , NVIDIA Blueprints , Pro Graphics , Robotics , Simulation and Design
- March 31, 2025
Industrial Ecosystem Adopts Mega NVIDIA Omniverse Blueprint to Train Physical AI in Digital Twins
Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities. Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize
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- Cosmos , DGX Cloud , Driving , GTC 2025 , In the NVIDIA Studio , Into the Omniverse , NVIDIA AI Enterprise , NVIDIA Blueprints , NVIDIA DGX , NVIDIA DRIVE , NVIDIA NeMo , NVIDIA NIM , TensorRT
- March 18, 2025
Driving Impact: NVIDIA Expands Automotive Ecosystem to Bring Physical AI to the Streets
The autonomous vehicle (AV) revolution is here — and NVIDIA is at its forefront, bringing more than two decades of automotive computing, software and safety expertise to power innovation from the cloud to the car. At NVIDIA GTC, a global AI conference taking place this week in San Jose, California, dozens of transportation leaders are
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- Artificial Intelligence , Cosmos , Driving , GTC 2025 , In the NVIDIA Studio , Into the Omniverse , NVIDIA DGX , NVIDIA DLSS , Physical AI , Transportation
- March 18, 2025
NVIDIA Launches NVIDIA Halos, a Full-Stack, Comprehensive Safety System for Autonomous Vehicles
Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s why NVIDIA today announced NVIDIA Halos — a comprehensive safety system bringing together NVIDIA’s lineup
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- Artificial Intelligence , CUDA , Data Center , Digital Twin , Generative AI , GTC 2025 , In the NVIDIA Studio , Industrial and Manufacturing , Into the Omniverse , NVIDIA Blueprints , NVIDIA DGX , Simulation and Design
- March 18, 2025
AI Factories, Built Smarter: New Omniverse Blueprint Advances AI Factory Design and Simulation
AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI factory is an extraordinary act of engineering and logistics — requiring tens of thousands of
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- Artificial Intelligence , CUDA , Data Center , DGX Cloud , Digital Twin , GTC 2025 , In the NVIDIA Studio , Into the Omniverse , NVIDIA Jetson , Open Source , Telecommunications
- March 18, 2025
NVIDIA Aerial Expands With New Tools for Building AI-Native Wireless Networks
The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI
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- 3D , GTC 2025 , In the NVIDIA Studio , Into the Omniverse , Metaverse , Pro Graphics , Robotics , Universal Scene Description
- February 20, 2025
Into the Omniverse: How OpenUSD and Synthetic Data Are Shaping the Future for Humanoid Robots
The NVIDIA Isaac GR00T Blueprint for synthetic motion data significantly accelerates the data generation and training of humanoid robots.
- Digital Twin , In the NVIDIA Studio , Into the Omniverse , Pro Graphics , Robotics , Universal Scene Description
- January 22, 2025
Into the Omniverse: OpenUSD Workflows Advance Physical AI for Robotics, Autonomous Vehicles
The next frontier of AI is physical AI. Physical AI models can understand instructions and perceive, interact and perform complex actions in the real world to power autonomous machines like robots and self-driving cars.
- Artificial Intelligence , CES 2025 , Digital Twin , Driving , In the NVIDIA Studio , Industrial and Manufacturing , Into the Omniverse , NVIDIA Isaac Sim , Simulation and Design , Transportation
- January 9, 2025
Hyundai Motor Group Embraces NVIDIA AI and Omniverse for Next-Gen Mobility
Driving the future of smart mobility, Hyundai Motor Group (the Group) is partnering with NVIDIA to develop the next generation of safe, secure mobility with AI and industrial digital twins. Announced today at the CES trade show in Las Vegas, this latest work will elevate Hyundai Motor Group’s smart mobility innovation with NVIDIA accelerated computing,
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- Artificial Intelligence , CES 2025 , Cosmos , DGX Cloud , Driving , Enterprise software , Generative AI , In the NVIDIA Studio , Into the Omniverse , NVIDIA DRIVE , NVIDIA Jetson , NVIDIA NeMo , NVIDIA Research , Robotics , Simulation and Design , Synthetic Data Generation , Transportation
- January 7, 2025
NVIDIA Makes Cosmos World Foundation Models Openly Available to Physical AI Developer Community
NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models — neural networks that can predict and generate physics-aware videos of the future state of a virtual environment — to help developers build next-generation robots and autonomous vehicles (AVs). World foundation models, or WFMs, are as fundamental as large
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