GPU clouds and inference providers
4–20 MW blocks with delivery-date discipline, at a size larger developers often overlook.
COMPUTE CAPACITY · 4–20 MW CLASS
Capacity where the grid can actually deliver it.
Ananta develops compute-ready sites on distribution-scale interconnection. It is the deal size the hyperscale pipeline ignores, on timelines the large-load queue cannot match.
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THE MECHANISM
A different interconnection path.
Transmission-scale large-load interconnection is a national bottleneck. LBNL reports a median wait of about 4.5 years. FERC ordered all six U.S. grid operators to address large-load processes in June 2026.
Distribution-scale connections in the 4–20 MW class follow each utility's distribution process instead. The work proceeds feeder by feeder on a months-scale path. The scarce asset is feeder headroom. Finding it is our discipline.
WHAT A SITE INCLUDES
The development work is done before the build begins.
Land and entitlements
Land control and public approvals completed.
Utility interconnection
Secured through the utility's own distribution process.
Fiber path
A practical route identified during development.
Expansion path
Headroom evaluated during screening so growth does not begin with a blank page.
Modular compute
Self-contained compute modules with integrated liquid cooling and external chillers arrive on a prepared pad. Electrical planning supports liquid-cooled racks.
Flexible delivery
Take an entitled, compute-ready site, or engage early for development to your specification.
We develop sites. We do not operate compute.
SITE SIZES
What a site looks like, from 4 to 20 MW.
Every size runs on the same pattern: one access point, one interconnection, and screening and buffer around the footprint. Acreage is approximate and site-specific.
WHO WE SERVE
Regional capacity for operators who value control.
Enterprises deploying private AI
Sites near demand that you control, with a clean public approval record.
Colocation operators
Wholesale blocks with expansion headroom, ready for your customer model.
WHY DISTRIBUTED INFERENCE
Training follows low-cost power. Inference stays near demand.
Industry analyses project inference rising toward about 75% of AI compute by 2030. That creates a need for many well-placed regional sites, not one remote campus.
A network of 4–20 MW distribution-connected sites brings proximity and speed-to-power together.
HOW TO ENGAGE
Engage early. Shape the site to your requirements.
Sites are in active development across the Northeast, Mid-Atlantic, and Midwest.
In conversation under NDA, we share the parcel and setting, interconnection stage, permit status, timeline, and expansion path.
Capacity where the grid can actually deliver it.
Visualization
EXPERIENCE
Infrastructure work is measured in years, approvals, and follow-through.
Ananta is led by a team with two decades of utility-scale energy infrastructure development experience across U.S. markets.
Active across the Northeast, Mid-Atlantic, and Midwest.
COMPUTE INQUIRIES
Start with the capacity you need.
Tell us your market, power range, timing, and facility requirements.
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