Over the past year, generative AI has transformed the way people live, work and play, enhancing everything from writing and content creation to gaming, learning and productivity. PC enthusiasts and developers are leading the charge in pushing the boundaries of this groundbreaking technology. Countless times, industry-defining technological breakthroughs have been invented in one place —

Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. According to IDC’s Global DataSphere1, enterprises will generate 317 zettabytes of data annually by 2028 — including the creation of 29 zettabytes of unique data — of which 78% will

In the fast-evolving landscape of AI, it’s becoming increasingly important to develop models that can accurately simulate and predict outcomes in physical, real-world environments to enable the next generation of physical AI systems. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to discuss the significance of

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