Nvidia

LG Partners with Nvidia on 10,000-Square-Meter Robot Data Factory Targeting 100,000 Training Hours

LG Electronics hosted senior Nvidia leadership at its Yangjae R&D Campus in Seoul on August 18, 2026, advancing a joint initiative to build physical AI training pipelines and target 100,000 hours of embodied robotics data by the end of the year. The site review took place five days after LG Group and Nvidia signed a strategic memorandum of understanding at Nvidia headquarters in Santa Clara on August 13. The accelerated timeline reflects LG's effort to convert its industrial manufacturing infra

OpenAI Signs 20-Year Lease for Multi-Gigawatt Ohio AI Campus with Nvidia Backstop

OpenAI has signed a 20-year lease agreement to anchor a multi-gigawatt AI data center campus in Pike County, Ohio, developed by SoftBank subsidiary SB Energy. Under the tripartite agreement, Nvidia will serve as the exclusive compute infrastructure provider and supply financial guarantees covering the site's land, power, and shell development. The facility, designated the PORTS-Pike Technology Campus, is designed to support an initial 4.25 gigawatts of information technology load (IT-GW) dedica

OpenAI signs an 8-gigawatt Ohio data center lease backed by up to $105B from Nvidia

OpenAI has signed a 20-year lease for the PORTS-Pike data center campus in Ohio, its largest infrastructure commitment to date, with Nvidia agreeing to backstop up to $105 billion of the project's value. The deal, struck with SoftBank's SB Energy, gives OpenAI roughly 8 gigawatts of IT capacity, about 10 gigawatts once cooling and supporting infrastructure are included. The site sits partly on a former U.S. Department of Energy uranium enrichment facility and draws power from a 9.2-gigawatt gas

Nvidia backs a $105 billion guarantee for OpenAI's Ohio AI campus

Nvidia's Nemotron 4 aims for a trillion parameters, but China is already there

Nvidia is building Nemotron 4, a new family of open-weight AI models meant to challenge the strongest freely available models, according to reporting by The Information cited by The Decoder. The largest model in the family is planned to reach at least one trillion parameters, twice the size of Nvidia's current Nemotron 3 Ultra. To train it, Nvidia has tripled its cloud spending on in-house model development to 28 billion dollars through 2031. The earliest the models could ship is this fall. C

Nvidia's Nemotron 3.5 Lightning bets on speed over size

Nvidia has released Nemotron 3.5 Lightning, the first model in a new Nemotron 3.5 family, and it is playing a different game than most open-weight releases this year. Instead of chasing the highest intelligence score, Nvidia built a compact model that runs fast and cheap while still matching much larger rivals on standard benchmarks. A small model that keeps up Lightning carries 31.6 billion total parameters, but only 3.6 billion are active at any moment. It keeps the hybrid Mamba-Transformer

NSF Commits $100 Million to Regional AI Infrastructure Hubs

The U.S. National Science Foundation launched a $100 million program on August 4 to build state and regional AI infrastructure hubs, with NVIDIA, AMD, Intel, and Dell Technologies among the private-sector partners. The NSF State and Regional Artificial Intelligence Infrastructure Hubs program will fund up to 10 regional consortia that pool compute, data, and expertise for researchers, students, and educators who currently lack access to AI-scale computing resources. Public-private cost

Nvidia Opens Alpamayo 2 Super for Commercial Use

Nvidia has released the weights for Alpamayo 2 Super, a 34-billion-parameter vision-language-action model for autonomous-vehicle development, under the Linux Foundation's OpenMDW-1.1 license. The change gives automakers and autonomous-driving developers a commercial path to fine-tune, redistribute, and build derivative models from Nvidia's largest Alpamayo release, according to the company's announcement and model card. A cloud teacher model, not a robotaxi driver Alpamayo 2 Super combi