NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new products to advance gaming, autonomous vehicles, robotics, and agentic AI. AI has been “advancing at an incredible pace,” he said before an audience of more than 6,000 packed into the Michelob Ultra Arena in Las Vegas. “It started
From creating the GPU, RTX real-time ray tracing and neural rendering to now reinventing computing for AI, NVIDIA has for decades been at the forefront of computer graphics — pushing the boundaries of what’s possible in media and entertainment. NVIDIA Media2 is the latest AI-powered initiative transforming content creation, streaming and live media experiences. Built
Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which they’ve been trained. Using new AI techniques such as tokenization and large language and diffusion models, developers and researchers can now address longstanding hurdles to autonomy. These larger models require massive amounts of diverse data for training, fine-tuning and
According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10
Leading global transportation companies — spanning the makers of passenger vehicles, trucks, robotaxis and autonomous delivery systems — are turning to the NVIDIA DRIVE AGX platform and AI to build the future of mobility. NVIDIA’s automotive business provides a range of next-generation highly automated and autonomous vehicle (AV) development technologies, including cloud-based AI training, simulation
A new NVIDIA DRIVE AI Systems Inspection Lab will help automotive ecosystem partners navigate evolving industry standards for autonomous vehicle safety. The lab, launched today, will focus on inspecting and verifying that automotive partner software and systems on the NVIDIA DRIVE AGX platform meet the automotive industry’s stringent safety and cybersecurity standards, including AI functional
NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models — neural networks that can predict and generate physics-aware videos of the future state of a virtual environment — to help developers build next-generation robots and autonomous vehicles (AVs). World foundation models, or WFMs, are as fundamental as large
Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, NVIDIA is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts. Announced by NVIDIA founder and CEO Jensen
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
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