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Scale Synthetic Data and Physical AI Reasoning with NVIDIA Cosmos World Foundation Models

A GIF showing robotics.The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and…A GIF showing robotics.

The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and representative datasets, these systems don’t get proper training and face testing risks due to poor generalization, limited exposure to real-world variations, and unpredictable behavior in edge cases. Collecting massive real-world datasets for…

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Announcing Newton, an Open-Source Physics Engine for Robotics Simulation

Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to…

Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to developing the next generation of robotics. Physics plays a crucial role in robotic simulation, providing the foundation for accurate virtual representations of robot behavior and interactions within realistic environments.

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Using OpenUSD for Modular and Scalable Robotic Simulation and Deployment

Collage of a robot arm with OpenUSD code and schema.The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market…Collage of a robot arm with OpenUSD code and schema.

The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market for new robotic solutions, enhancing confidence in their safety capabilities, and powering of physical AI in factories and warehouses. Announced at GTC, Newton is an open-source, extensible physics engine developed by NVIDIA…

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NVIDIA NeMo Retriever Delivers Accurate Multimodal PDF Data Extraction 15x Faster

Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can…

Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can surface insights from written content, they aren’t extracting critical information embedded in tables, charts, and infographics—often the most information-dense elements of a document. Without a multimodal retrieval system…

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Petabyte-Scale Video Processing with NVIDIA NeMo Curator on NVIDIA DGX Cloud

NeMo Video Curator icon in a workflow diagram.With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of…NeMo Video Curator icon in a workflow diagram.

With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of video daily, while a robotics-powered manufacturing facility may produce 1 PB of data daily. To leverage this data for training and fine-tuning world foundation models (WFMs), you must first process it efficiently.

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NVIDIA Dynamo Open-Source Library Accelerates and Scales AI Reasoning Models

NVIDIA Dynamo Increases Inference Performance While Lowering Costs for Scaling Test-Time Compute; Inference Optimizations on NVIDIA Blackwell Boosts Throughput by 30x on DeepSeek-R1SAN JOSE, …

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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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NVIDIA Blackwell Ultra AI Factory Platform Paves Way for Age of AI Reasoning

NVIDIA today announced the next evolution of the NVIDIA Blackwell AI factory platform, NVIDIA Blackwell Ultra — paving the way for the age of AI reasoning.

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NVIDIA Announces Spectrum-X Photonics, Co-Packaged Optics Networking Switches to Scale AI Factories to Millions of GPUs

NVIDIA today unveiled NVIDIA Spectrum-X™ and NVIDIA Quantum-X silicon photonics networking switches, which enable AI factories to connect millions of GPUs across sites while drastically reducing energy consumption and operational costs.

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Introducing NVIDIA Dynamo, A Low-Latency Distributed Inference Framework for Scaling Reasoning AI Models

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for…

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for deploying generative AI and reasoning models in large-scale distributed environments. The framework boosts the number of requests served by up to 30x, when running the open-source DeepSeek-R1 models on NVIDIA Blackwell.

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