NVIDIA

RealSense and NVIDIA Collaborate to Usher in the Age of Physical AI

Intel, News, NVIDIA, Robotics, Sensors and Cameras, Tools /

Integration of RealSense AI depth cameras with NVIDIA Jetson Thor and simulation platforms sets a new industry standard, driving breakthroughs in humanoids, AMRs and the future of intelligent machines SAN FRANCISCO — Aug. 25, 2025 — RealSense, Inc., the global leader in robotic perception, today announced a strategic collaboration with NVIDIA to accelerate the adoption […]

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NVIDIA Blackwell-powered Jetson Thor Now Available, Accelerating the Age of General Robotics

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News Summary: NVIDIA Jetson AGX Thor developer kit and production modules, robotics computers designed for physical AI and robotics, are now generally available. Over 2 million developers are using NVIDIA’s robotics stack, with Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta among early Jetson Thor adopters. Jetson Thor, powered by NVIDIA

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e-con Systems Launches AI-powered Vision and Compute Solutions Accelerated by NVIDIA Jetson Thor

e-con Systems, News, NVIDIA, Processors, Sensors and Cameras /

California & Chennai (August 25, 2025): e-con Systems®, a global leader in embedded vision solutions, announces support for the newly launched NVIDIA Jetson Thor series, covering a comprehensive range of vision solutions including USB Series, RouteCAM GigE series, 10G Holoscan Camera solutions and robust ECU platform purpose-built for real‑time edge AI applications. This strategic expansion

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Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior

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“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA

Algorithms, Multimodal, NVIDIA, Processors, Software, Summit 2025, Tools, Videos /

Monika Jhuria, Technical Marketing Engineer at NVIDIA, presents the “Customizing Vision-language Models for Real-world Applications” tutorial at the May 2025 Embedded Vision Summit. Vision-language models (VLMs) have the potential to revolutionize various applications, and their performance can be improved through fine-tuning and customization. In this presentation, Jhuria explores the concept… “Customizing Vision-language Models for Real-world

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The Chiplet Consolidation Wave: How Strategic Acquisitions are Shaping the Future of Silicon

AMD, Arm, Market Analysis, Memory, NVIDIA, Processors, Qualcomm /

The Disaggregation of the Monolith: A New Paradigm Forged by AI’s Demands The semiconductor industry is navigating its most significant architectural shift in decades, a transition compelled by the relentless demands of Generative AI. The monolithic System-on-Chip (SoC), the reigning paradigm for half a century, is fracturing under the weight of exponentially growing AI models

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R²D²: Boost Robot Training with World Foundation Models and Workflows from NVIDIA Research

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation models (WFMs), which are generative AI models trained to simulate, predict, and

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NVIDIA Opens Portals to World of Robotics With New Omniverse Libraries, Cosmos Physical AI Models and AI Computing Infrastructure

Algorithms, NVIDIA, Processors, Robotics, Software, Tools /

New NVIDIA Omniverse NuRec 3D Gaussian Splatting Libraries Enable Large-Scale World Reconstruction New NVIDIA Cosmos Models Enable World Generation and Spatial Reasoning New NVIDIA RTX PRO Blackwell Servers and NVIDIA DGX Cloud Let Developers Run the Most Demanding Simulations Anywhere Physical AI Leaders Amazon Devices & Services, Boston Dynamics, Figure AI and Hexagon Embrace Simulation and Synthetic Data Generation August 11, 2025—SIGGRAPH—NVIDIA

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Optimizing LLMs for Performance and Accuracy with Post-training Quantization

Algorithms, Articles, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models

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How to Run Coding Assistants for Free on RTX AI PCs and Workstations

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-powered copilots deliver real-time assistance for projects from academic projects to production code — and are optimized for RTX AI PCs. Coding assistants or copilots — AI-powered assistants that can suggest, explain and debug code — are

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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