The Cluster You Have Been Renting, as an Asset on Your Balance Sheet.

Training runs that are no longer experiments deserve infrastructure that is no longer rented. We size the fabric, storage and cooling to your checkpoint cadence and deliver first tokens in weeks, not quarters.

CUMULATIVE COST · BUILD VS RENTMonth 14–18RentBuildBreakeventhen 40–60 % saved / yrYears
4,000
GPUs delivered in 13 weeks
800 G
rail-optimised fabric
1.6T
ready optics and trunks

What Buyers Ask Us First

  • How fast can we be training on hardware we own?
  • Will the fabric keep up with our all-reduce at scale?
  • What is the refresh path to Vera Rubin without rebuilding the hall?
  • Can procurement get allocation at partner pricing?

Frameworks We Design To

Mapped at the design stage so the evidence exists at handover.

NVIDIA reference architectures (DGX SuperPOD, Spectrum-X)Rail-optimised topology designASHRAE W32/W45 liquid classesMLPerf-style burn-in and acceptance

Services That Apply

Proof

4,000-GPU training cluster in 90 days

8 MW of liquid-cooled capacity delivered with a modular build and pre-procured power; first tokens in 13 weeks.

All case studies →

Scope a Training Cluster

Tell us the workload, the site and the timeline. A senior engineer replies within one business day.

Reviewed by a senior engineer, not a sales queue.