NVIDIA

How Lenovo is scaling Level 4 autonomous robotaxis on Arm

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

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

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

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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Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous machines need real-time intelligence to see, understand, and react without depending on the cloud. The NVIDIA

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How to Enhance 3D Gaussian Reconstruction Quality for Simulation

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting (3DGS) and 3D Gaussian with Unscented Transform (3DGUT), rendered views can still contain artifacts such as blurriness, holes, or

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NVIDIA DRIVE AV Software Debuts in All-New Mercedes-Benz CLA

This post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Production launch of enhanced level 2 driver-assistance system in the US this year signals start of broader rollout of NVIDIA’s full-stack software across the automotive industry. NVIDIA is enabling a new era of AI-defined driving, bringing its NVIDIA

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Accelerate AI Inference for Edge and Robotics with NVIDIA Jetson T4000 and NVIDIA JetPack 7.1

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications. Optimized for tighter power and thermal envelopes, T4000 delivers up to 1200 FP4  TFLOPs of AI compute and 64 GB of memory,

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NVIDIA Unveils New Open Models, Data and Tools to Advance AI Across Every Industry

This post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Expanding the open model universe, NVIDIA today released new open models, data and tools to advance AI across every industry. These models — spanning the NVIDIA Nemotron family for agentic AI, the NVIDIA Cosmos platform for physical AI, the new NVIDIA Alpamayo family for autonomous vehicle

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Groq and Nvidia Enter Non-Exclusive Inference Technology Licensing Agreement to Accelerate AI Inference at Global Scale

Mountain View, CA, December 24 — Today, Groq announced that it has entered into a non-exclusive licensing agreement with Nvidia for Groq’s inference technology. The agreement reflects a shared focus on expanding access to high-performance, low cost inference. As part of this agreement, Jonathan Ross, Groq’s Founder, Sunny Madra, Groq’s President, and other members of

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