Month: January 2025

Spatial computing experiences are transforming how we interact with data, connecting the physical and digital worlds through technologies like extended reality…

Spatial computing experiences are transforming how we interact with data, connecting the physical and digital worlds through technologies like extended reality (XR) and digital twins. These advancements are enabling more intuitive and immersive ways to analyze and understand complex datasets. This post explains how developers can now engage with Universal Scene Description (OpenUSD)-based…

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Powered by the new GB10 Grace Blackwell Superchip, Project DIGITS can tackle large generative AI models of up to 200B parameters.

Powered by the new GB10 Grace Blackwell Superchip, Project DIGITS can tackle large generative AI models of up to 200B parameters.

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At CES 2025, NVIDIA announced key updates to NVIDIA Isaac, a platform of accelerated libraries, application frameworks, and AI models that accelerate the…

At CES 2025, NVIDIA announced key updates to NVIDIA Isaac, a platform of accelerated libraries, application frameworks, and AI models that accelerate the development of AI robots. NVIDIA Isaac streamlines the development of robotic systems from simulation to real-world deployment. In this post, we discuss all the new advances in NVIDIA Isaac: NVIDIA Isaac Sim is a reference…

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Kit 106.5 now supports USDz exports, improved new project flow, and preview of new RTX real-time mode.

Kit 106.5 now supports USDz exports, improved new project flow, and preview of new RTX real-time mode.

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AI development has become a core part of modern software engineering, and NVIDIA is committed to finding ways to bring optimized accelerated computing to every…

AI development has become a core part of modern software engineering, and NVIDIA is committed to finding ways to bring optimized accelerated computing to every developer that wants to start experimenting with AI. To address this, we’ve been working on making the accelerated computing stack more accessible with NVIDIA Launchables: preconfigured GPU computing environments that enable you to…

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New NVIDIA AI Blueprints for building agentic AI applications are poised to help enterprises everywhere automate work. With the blueprints, developers can now build and deploy custom AI agents. These AI agents act like “knowledge robots” that can reason, plan and take action to quickly analyze large quantities of data, summarize and distill real-time insights
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Autonomous vehicle (AV) development is made possible by three distinct computers: NVIDIA DGX systems for training the AI-based stack in the data center, NVIDIA Omniverse running on NVIDIA OVX systems for simulation and synthetic data generation, and the NVIDIA AGX in-vehicle computer to process real-time sensor data for safety. Together, these purpose-built, full-stack systems enable
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Artificial intelligence is entering a new era — agentic AI — where teams of specialized agents can help people solve complex problems and automate repetitive tasks. With custom AI agents, enterprises across industries can manufacture intelligence and achieve unprecedented productivity. These advanced AI agents require a system of multiple generative AI models optimized for agentic
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GeForce RTX 50 Series Desktop and Laptop GPUs, unveiled today at the CES trade show, are poised to power the next era of generative and agentic AI content creation — offering new tools and capabilities for video, livestreaming, 3D and more. Built on the NVIDIA Blackwell architecture, GeForce RTX 50 Series GPUs can run creative
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The next big moment in AI is in sight — literally. Today, more than 1.5 billion enterprise level cameras deployed worldwide are generating roughly 7 trillion hours of video per year. Yet, only a fraction of it gets analyzed. It’s estimated that less than 1% of video from industrial cameras is watched live by humans,
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