GPU capacity
Source allocation for H100, H200, and GB200 class accelerators through OEMs, integrators, and colocation partners — with terms and lead times, not a waitlist.
Stop renting. Source and own the stack behind your AI workloads.
Most teams rent everything and own nothing. When utilization is steady, that is the most expensive way to run AI. Racklion sources the GPUs, power, colocation, and space so you get ownership economics without building a data center.
Colocation & space
Secure rack space and cages in vetted facilities so you own the servers and GPUs without building or leasing a data center.
Power & cooling
Match dense AI racks (40–130 kW) to facilities with the power envelope and liquid-cooling readiness they actually require.
Servers & storage
Spec and source the compute, storage, and networking around the accelerators so the stack ships as one coherent build.
How it works
Tell us what you need to source
Advise on the decision, then execute the sourcing.
We pressure-test the cloud-versus-own math first, then line up allocation, colocation, and power against your timeline.