Vantage Data Centers Invests $3 Billion in Nevada AI Campus

Jul 19, 2025
Vantage Data Centers is investing $3 billion in a new 224MW AI-ready data center campus in Storey County, Nevada, marking its entry into the state and eighth North American market.
Vantage Data Centers Invests $3 Billion in Nevada AI Campus

Vantage Data Centers has announced a significant investment of $3 billion to develop a 224-megawatt AI-ready data center campus in Storey County, Nevada, announced in a press release. This new facility, named NV1, represents Vantage's first venture into Nevada and its eighth market in North America.

The NV1 campus will cover approximately 137 acres and include four multi-story data centers with over one million square feet of floor space. The first building is expected to be operational by the second quarter of 2026, with two buildings already fully leased. The campus is designed to support advanced AI workloads, offering power densities from 360 to over 720 watts per square foot and accommodating both traditional air-cooled and advanced liquid-cooled GPU deployments.

Sustainability is a key focus for the NV1 project, which will feature a closed-loop chiller system to minimize water usage and is expected to achieve LEED certification. The development is anticipated to create over 1,200 jobs during construction and ongoing operations, contributing to the local economy and reinforcing the region's status as a technology hub.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.