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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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- Artificial Intelligence , CES 2025 , Cosmos , Digital Twin , In the NVIDIA Studio , Into the Omniverse , NVIDIA Isaac Sim , Robotics , Synthetic Data Generation
- January 7, 2025
NVIDIA Announces Isaac GR00T Blueprint to Accelerate Humanoid Robotics Development
Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, NVIDIA is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts. Announced by NVIDIA founder and CEO Jensen
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- 3D , Artificial Intelligence , CES 2025 , Cloud Services , Cosmos , Creators , Generative AI , Holoscan for Media , In the NVIDIA Studio , Inception , Into the Omniverse , Media and Entertainment , NVIDIA AI Enterprise , NVIDIA Blueprints , NVIDIA NeMo , NVIDIA NIM , Pro Graphics
- January 7, 2025
NVIDIA Media2 Transforms Content Creation, Streaming and Audience Experiences With AI
From creating the GPU, RTX real-time ray tracing and neural rendering to now reinventing computing for AI, NVIDIA has for decades been at the forefront of computer graphics — pushing the boundaries of what’s possible in media and entertainment. NVIDIA Media2 is the latest AI-powered initiative transforming content creation, streaming and live media experiences. Built
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- Artificial Intelligence , CES 2025 , Cosmos , Driving , In the NVIDIA Studio , Into the Omniverse , NVIDIA DGX , Transportation
- January 7, 2025
NVIDIA Enhances Three Computer Solution for Autonomous Mobility With Cosmos World Foundation Models
Autonomous vehicle (AV) development is made possible by three distinct computers: NVIDIA DGX systems for training the AI-based stack in the data center, NVIDIA Omniverse running on NVIDIA OVX systems for simulation and synthetic data generation, and the NVIDIA AGX in-vehicle computer to process real-time sensor data for safety. Together, these purpose-built, full-stack systems enable
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- Artificial Intelligence , CES 2025 , Cosmos , Generative AI , In the NVIDIA Studio , NVIDIA Blueprints , NVIDIA NIM
- January 7, 2025
NVIDIA Announces Nemotron Model Families to Advance Agentic AI
Artificial intelligence is entering a new era — agentic AI — where teams of specialized agents can help people solve complex problems and automate repetitive tasks. With custom AI agents, enterprises across industries can manufacture intelligence and achieve unprecedented productivity. These advanced AI agents require a system of multiple generative AI models optimized for agentic
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- Artificial Intelligence , CES 2025 , Cosmos , Digital Twin , In the NVIDIA Studio , Industrial and Manufacturing , Into the Omniverse , NVIDIA Blueprints , NVIDIA Isaac Sim , Robotics , Simulation and Design , Transportation
- January 7, 2025
Building Smarter Autonomous Machines: NVIDIA Announces Early Access for Omniverse Sensor RTX
Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which they’ve been trained. Using new AI techniques such as tokenization and large language and diffusion models, developers and researchers can now address longstanding hurdles to autonomy. These larger models require massive amounts of diverse data for training, fine-tuning and
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