NVIDIA is leading the way in building the infrastructure that will enable the United States to lead AI technology with AI 6G, AI infrastructure, and quantum computing.

At the GTC event held in Washington, D.C. on the 28th, NVIDIA CEO Jensen Huang, a leader in AI computing, unveiled the future of U.S. technology infrastructure, including an AI-native 6G wireless stack, GPU-quantum computing link technology 'NVQLink', and a blueprint for next-generation AI infrastructure to be built across the U.S.


Jensen Huang unveiled the first AI-native wireless stack for 6G in the US.

Based on the AI Aerial platform, this stack dramatically improves spectral efficiency and connectivity, and includes integrated communications and sensing (ISAC) capabilities.

Developed in collaboration with Booz Allen, Cisco, Mitre, ODC, and T-Mobile, this stack integrates AI across hardware, software, and architecture to address the rapidly growing AI traffic.

NVIDIA built a complete AI-native wireless stack just six months after launching the AI-WIN project at its Santa Clara campus, demonstrating the first user-to-user 6G call.br />
In particular, multimodal ISAC applications that combine camera vision and radio frequency sensing show powerful potential in public safety, industrial monitoring, and national security.


Jensen Huang announced 'NVQLink', an open system architecture that connects GPU computing and quantum processors.

The technology was developed in collaboration with U.S. national laboratories including Brookhaven, Lawrence Berkeley, and Oak Ridge, and enables quantum error correction and control algorithms to run on GPU supercomputers.

NVQLink integrates technologies from 17 quantum processor developers and five control system suppliers to accelerate the construction of quantum-classical hybrid systems.

The NVIDIA CUDA-Q platform allows researchers to develop applications spanning CPUs, GPUs, and QPUs, which is expected to significantly accelerate next-generation applied research in chemistry and materials science.


Jensen Huang announced that he will work with the U.S. Department of Energy's national laboratories and major companies to build AI infrastructure across the United States.

beautifulThe Gon National Laboratory will be equipped with a Solstice system with 100,000 Blackwell GPUs and an Equinox system with 10,000 GPUs, providing a total of 2,200 exaflops of AI performance.

Additionally, Virginia will house an AI Factory Research Center, which will leverage digital twin technology based on Omniverse DSX to present a blueprint for gigawatt-scale AI infrastructure.

The center will develop intelligent infrastructure models that optimize energy efficiency and sustainability.

NVIDIA has partnered with Cisco, Dell, HPE, and others to release a reference design for an AI factory for government use, while cloud and model developers such as Akamai, CoreWeave, Google Cloud, Microsoft, and Oracle are also joining the effort to build large-scale AI infrastructure.

Pharmaceutical companies like Eli Lilly and Mayo Clinic are also accelerating biomedical research and new drug development with NVIDIA-powered AI factories.

“The AI industrial revolution will define the future of every industry and every country,” said CEO Jensen Huang. “NVIDIA is building the best AI infrastructure to ensure that the United States remains at the center of technological innovation.”