NVIDIA

NVIDIA Advances Open Model Development for Digital and Physical AI

Algorithms, Automotive, Blog Posts, NVIDIA, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA releases new AI tools for speech, safety and autonomous driving — including NVIDIA DRIVE Alpamayo-R1, the world’s first open industry-scale reasoning vision language action model for mobility — and a new independent benchmark recognizes the openness and […]

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NVIDIA and Synopsys Announce Strategic Partnership to Revolutionize Engineering and Design

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Key Highlights Multiyear collaboration spans NVIDIA CUDA accelerated computing, agentic and physical AI, and Omniverse digital twins to achieve simulation speed and scale previously unattainable through traditional CPU computing — opening new market opportunities across engineering. To further adoption of GPU-accelerated engineering solutions, the companies will collaborate in engineering and marketing activities. NVIDIA invested $2

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Upcoming Webinar Explores Real-time AI Sensor Fusion

e-con Systems, Industrial Vision (Computer Vision), Lattice Semiconductor, News, NVIDIA, Processors, Robotics, Sensors and Cameras /

On December 17, 2025, at 9:00 am PST (12:00 pm EST), Alliance Member companies e-con Systems, Lattice Semiconductor, and NVIDIA will deliver a joint webinar “Real-Time AI Sensor Fusion with e-con Systems’ Holoscan Camera Solutions using Lattice FPGA for NVIDIA Jetson Thor Platform.” From the event page: Join an exclusive webinar hosted by e-con Systems®,

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Reconstruct a Scene in NVIDIA Isaac Sim Using Only a Smartphone

Blog Posts, NVIDIA, Robotics /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building realistic 3D environments for robotics simulation can be a labor-intensive process. Now, with NVIDIA Omniverse NuRec, you can complete the entire process using just a smartphone. This post walks you through each step—from capturing photos using an iPhone

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NVIDIA Contributes to Open Frameworks for Next-generation Robotics Development

Algorithms, Blog Posts, NVIDIA, Processors, Robotics, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the ROSCon robotics conference, NVIDIA announced contributions to the ROS 2 robotics framework and the Open Source Robotics Alliance’s new Physical AI Special Interest Group, as well as the latest release of NVIDIA Isaac ROS. This

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NVIDIA Blackwell: The Impact of NVFP4 For LLM Inference

Algorithms, Blog Posts, Nota AI, NVIDIA, Software, Tools /

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. With the introduction of NVFP4—a new 4-bit floating point data type in NVIDIA’s Blackwell GPU architecture—LLM inference achieves markedly improved efficiency. Blackwell’s NVFP4 format (RTX PRO 6000) delivers up to 2× higher LLM inference efficiency

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NVIDIA DGX Spark Arrives for World’s AI Developers

News, NVIDIA, Processors, Tools /

News Summary: NVIDIA founder and CEO Jensen Huang delivers DGX Spark to Elon Musk at SpaceX. This week, NVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer, delivering NVIDIA’s AI stack in a compact desktop form factor. Acer, ASUS, Dell Technologies, GIGABYTE, HPI, Lenovo and MSI debut DGX Spark systems, expanding

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Open-source Physics Engine and OpenUSD Advance Robot Learning

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. The Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how

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Breaking Free from the CUDA Lock-in

Algorithms, Blog Posts, NVIDIA, Processors, SiMa.ai, Software, Tools /

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting

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Deploy High-performance AI Models in Windows Applications on NVIDIA RTX AI PCs

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. Microsoft is now making Windows ML available to developers. Windows ML enables C#, C++ and Python developers to optimally run AI models locally across PC hardware from CPU, NPU and GPUs. On NVIDIA RTX GPUs, it utilizes

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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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