IronRidge develops and operates next-generation, environmentally conscious GPU data center campuses across North America and beyond — so any company, not just the hyperscalers, can run fixed-rate sovereign AI.
Much of the AI conversation centers on the trillion-dollar hyperscalers and the Fortune 50 that spend hundreds of millions a year — and we're glad to serve organizations at that scale. We also build for the roughly 333,000 mid-market companies in the US alone — $10M to $1B in revenue — that will run on AI just the same, and deserve a private, affordable place to run it.
Build your business on a metered API and every model change and price hike is out of your hands. Once an AI workflow is woven into your operations you can't unwind it — and you have no exit when prices rise.
IronRidge gives you that exit before you need one: dedicated private LLM capacity for one predictable monthly cost — your tokens, your model, your jurisdiction.
From the power plant to the GPU, IronRidge can own and operate every layer of the AI infrastructure stack.
Scalable AI infrastructure built for the future — purpose-engineered campuses for training and inference at scale.
High-performance GPU compute on demand, delivered from sovereign facilities you can trust.
Secure, sovereign, and built to scale — designed and operated by a team with decades of production experience.
Reliable, sustainable power for AI at scale — dedicated generation, not utility-queue dependent.
Partnering with nations and communities for shared prosperity — partners, not landlords.
Explore how each layer fits together — from the power plant to the GPU.
View Offerings →The single hardest thing to find in the AI race is land with sovereign jurisdiction and a path to power. IronRidge develops campuses across eight U.S. regions in partnership with the communities that hold that land — so the upside is shared, not extracted.
From the land and power to the GPU, every layer of the IronRidge platform is engineered to tread lightly — abundant sustainable energy, water-wise cooling, and efficiency built into the stack.
