U.S. Air Force Seeks Proposals for Large-Scale AI Data Centers

Oct 21, 2025
The U.S. Department of the Air Force has opened a call for proposals to develop artificial intelligence data centers, requiring projects with over 100 megawatts of new load and at least $500 million in capital investment.

The U.S. Department of the Air Force announced it is accepting proposals for the construction and operation of artificial intelligence data centers. The initiative aims to support large-scale infrastructure capable of meeting the computational demands of advanced AI systems.

According to the announcement, eligible projects must include more than 100 megawatts of new power load and represent at least $500 million in capital expenditures. The Air Force is also seeking monetary consideration for the proposed data center developments.

If a proposal includes onsite power generation, the Department of the Air Force will retain the first right of refusal to that power generation capacity. Additional details on submission requirements and evaluation criteria are available through the department’s official request for proposals.

We hope you enjoyed this article

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

Also, consider following us on social media:

Defense AI Brief AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

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

Guide
AI interconnect and networking startups

AI interconnect and networking startups

29 private startups developing the chips, optical switches and memory fabrics that move data through AI infrastructure.

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

You may also like

Free, six days a week

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