NVIDIA

Experience the magic of NVIDIA GTC 2026 featuring GTC Live pregame, CEO Jensen Huang’s keynote, a packed exhibit hall with hundreds of sponsors, hands-on training, technology plus fun at GTC Park

Catch up on how CEO Jensen Huang’s keynote lit the fuse on a new era of token-powered, full‑stack AI — from CUDA to Vera Rubin, Feynman and OpenClaw.

Gather around the campfire with Jensen and a cast of robots from the GTC keynote as they sing their way through this year’s biggest announcements.

A silent revolution in AI is rewriting the rules of computation.

“NVIDIA’s cost per token is the lowest in the world.” — Jensen Huang, Founder & CEO of NVIDIA Token generation cost is a direct result of architecture excellence and extreme co-design, not just

At GTC, NVIDIA made NVQLink publicly available through a new application programming interface (API) called cudaq-realtime — and shared demonstrations advancing the state-of-the-art in quantum error

Curiosity first. Conviction next. On the latest Lex Fridman podcast, NVIDIA CEO Jensen Huang shares how he reasons toward what must exist, then builds toward it.

This video showcases four capabilities of NVIDIA Alpamayo, the reasoning vision language action model: - Chain-of-Thought: Alpamayo continuously reasons through its observations, conclusions, and

We are no longer just building models; we are building a new industry. Join top AI leaders and pioneers as they break down the rapidly evolving tech landscape.

Autonomous vehicles (AVs) are emerging as the first mass-deployed physical AI agents, reshaping mobility and driving new demands in AI, safety, and scalable development.

At NVIDIA GTC 2026, NVIDIA Telecom SVP Ronnie Vasishta delivered the Telecom Special address, exploring how telcos can build a distributed AI grid to power new AI services and applications.

Different voices. Same answer: open models.

"The inflection point for inference has arrived." — Jensen Huang, Founder & CEO of NVIDIA We’ve officially crossed a new milestone in the inference era — where widespread adoption of AI shifts

As global demand for AI infrastructure accelerates, NVIDIA Omniverse™ DSX provides a digital twin blueprint for designing, simulating, and operating AI factories at maximum efficiency.

Automation executes. Autonomy reasons. 🧠 Watch how NVIDIA and its global partners are ushering in the era of the Autonomous Network.

For generations, doctors and scientists have dedicated their lives to understanding and decoding disease. They uncovered how cells work, how genes are structured, and how life itself functions.

This is how intelligence is made. We are entering a new frontier where the AI factory generates tokens—the building blocks of modern intelligence.

Twenty years after building CUDA, NVIDIA has reinvented computing with a full stack of over a thousand CUDA-X libraries empowering breakthroughs across every field of science and engineering.

Scientific research is slowing under the weight of papers, code, and complex data, so Edison Scientific built Kosmos, an AI scientist on NVIDIA that compresses six months of work into a single day.

A new wave of AI has arrived—one that does more than answer questions and actually helps do the work.

Explore the journey from NVIDIA DGX‑1 to the revolutionary NVIDIA Vera Rubin platform, showing how rack‑scale AI supercomputers built with NVIDIA AI Infrastructure are redefining what’s possible in

Delivered performance, not peak chip specifications, drives AI factory productivity. Rigorous benchmarks are the only way to see past the noise.

IBM invented the data warehouse. Today, enterprises generate hundreds of zettabytes of data per year. Traditional CPU systems are hitting a performance ceiling.