Modular data center development, deployed behind the meter
AI inference workloads need low-latency compute capacity close to users. Traditional data center development takes 4-6 years because of grid interconnection queues alone. That timeline doesn't work.
LandUp bypasses the queue. We pair behind-the-meter power generation with modular data center infrastructure at pre-qualified sites — delivering power-ready compute capacity in 6-12 months instead of years. No grid queue. No multi-year construction timeline. No stranded capital waiting for utility approvals.
Finding the right site is the foundation of every project. We've built proprietary screening tools that evaluate thousands of locations across a metro area against power availability, fiber connectivity, environmental constraints, and buildability. The output is a ranked shortlist of sites that meet the requirements before we commit any resources.
This isn't a service we sell — it's how we source our own deals. The screening engine is what lets us move faster and with more confidence than manual research allows.
Every technology in a LandUp deployment exists today and is commercially proven. The power generation, the modular compute infrastructure, the cooling systems — all are available from established vendors with track records. The innovation isn't in any single component. It's in how we assemble them, where we place them, and how quickly we get from site identification to power-on.
Training large AI models happens in massive centralized campuses with hundreds of megawatts. That market is served by hyperscale developers with deep capital.
Inference is different. It needs to be closer to users, more distributed, and deployed faster. A 5-20 MW facility in the right location serves inference workloads that need sub-10ms latency to major population centers. That's the gap LandUp fills — distributed, near-metro, power-secure compute capacity for the inference era.