Dedicated AI compute, built from the power up.
BaseTensor owns and operates GPU clusters for companies that train and serve large models. Reserved, contiguous GPU capacity, sited on long-term contracted power, delivered by one operator.
The constraint moved. So did we.
The limit on AI capacity is no longer only GPUs. It is contiguous power, land and cooling, delivered on schedule. BaseTensor is built around that constraint.
Contiguous scale
Whole clusters, not fragments. Capacity is designed to be reserved in large contiguous blocks by a small number of customers.
Power as the foundation
Our infrastructure is sited on long-term contracted power. The advantage comes from the asset, not from a discount.
Built for full-rack density
Purpose-built liquid cooling for the highest-density GPU racks, so full-rack training topologies run without de-densifying.
One operator, end to end
Power, facility, cluster and operations under one accountable team, with an SLA matched to your roadmap.
Two ways to reserve capacity.
Reserved dedicated clusters
A dedicated cluster reserved for your organization under a multi-year agreement.
Learn more →Managed capacity
Dedicated capacity delivered as a managed service. BaseTensor owns and operates the hardware; you bring the workload.
Learn more →Pricing is provided on request and depends on scale and term.
From inquiry to reservation in three steps.
The full process →Inquire
Tell us your workload, scale, preferred GPU platform and target start date.
Scope
Under NDA we share technical specifications, delivery schedule and commercial terms, and confirm fit.
Reserve
A reservation agreement fixes capacity, ramp and term.
Reserving capacity for 2027.
We are opening conversations now with a limited number of qualified institutional and enterprise customers for 2027 capacity.
Request capacity