NVIDIA

NVIDIA, T-Mobile and Partners Integrate Physical AI Applications on AI-RAN-Ready Infrastructure

HCLTech, News, NVIDIA, Processors, Smart Cities, Software /

News Summary: T-Mobile pilots NVIDIA RTX PRO 6000 Blackwell Server Edition AI infrastructure to demonstrate physical AI applications at the edge, complementing the AI-RAN Innovation Center’s distributed network Physical AI developers including Fogsphere, LinkerVision, Levatas, Vaidio and Siemens Energy are building reasoning and vision AI agents to the edge using the NVIDIA Metropolis Blueprint for […]

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Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge

Lattice Semiconductor, News, NVIDIA, Processors, Robotics /

HILLSBORO, Ore. – Mar. 16, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to

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NVIDIA and Global Robotics Leaders Take Physical AI to the Real World

Algorithms & Models, News, NVIDIA, Processors, Robotics, Software, Tools /

News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale. NVIDIA unveils new NVIDIA

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NXP Delivers New Innovations for Advanced Physical AI with NVIDIA

News, NVIDIA, NXP Semiconductors, Processors, Robotics /

Key Takeaways: Secure, reliable real-time data processing and transport solutions for next-generation physical AI applications, developed in collaboration with NVIDIA NVIDIA humanoid robotics solutions integrated into NXP’s safe, secure edge portfolio cut development costs and speed time to market First in a series of NXP’s foundational robotics solutions designed to accelerate physical AI development and

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TI Accelerates the Next Generation of Physical AI with NVIDIA

D3 Embedded, News, NVIDIA, Processors, Robotics, Sensors and Cameras, Texas Instruments /

News highlights: TI and NVIDIA are collaborating to accelerate the path from simulation to the safe deployment of humanoid robots in the real world. As part of this collaboration, TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception and safety awareness for physical AI applications. TI

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HCLTech unveils VisionX 2.0, a next-gen multi-modal AI Edge Platform with NVIDIA

HCLTech, Industrial Vision (Computer Vision), News, NVIDIA, Software /

Noida, India, February 20, 2026 — HCLTech, a leading global technology company, today unveiled VisionX 2.0, an upgraded version of its multi-modal AI edge platform. This platform delivers real-time intelligence, enhanced safety and operational efficiency at scale for mission-critical industrial environments. VisionX 2.0 builds on HCLTech’s award-winning Intelligent Secure Edge capabilities, integrating advanced computer vision, vision language

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How Lenovo is scaling Level 4 autonomous robotaxis on Arm

Arm, Automotive, Blog Posts, NVIDIA, Processors /

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. As L4 robotaxis shift from pilot to production, Arm offers the compute foundation needed to deliver end-to-end physical AI that scales across vehicle fleets. After years of autonomous driving pilots and controlled trials, the automotive industry is moving toward the production-scale deployment of Level 4 (L4) robotaxis. This marks

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Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems

Automotive, Blog Posts, NVIDIA, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety

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What Sensor Fusion Architecture Offers for NVIDIA Orin NX-Based Autonomous Vision Systems

Automotive, Blog Posts, e-con Systems, NVIDIA, Robotics, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why multi-sensor timing drift weakens edge AI perception How GNSS-disciplined clocks align cameras, LiDAR, radar, and IMUs Role of Orin NX as a central timing authority for sensor fusion Operational gains from unified time-stamping

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Production Software Meets Production Hardware: Jetson Provisioning Now Available with Avocado OS

Blog Posts, NVIDIA, Peridio, Robotics, Software, Tools /

This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit

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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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