The AI-native data center developer

COMPUTE,SECURED.

Solomon Data Systems develops AI data center campuses across America: fast-track grid sites built on power that already exists, and behind-the-meter campuses for large scale. Tenants bring the chips. We bring the building, the power and the schedule.

720 MW
Project Omega, Texas Panhandle
~1 GW
Critical IT pipeline
15–100 MW
Fast-track grid campuses
3–9 MO
Quoted equipment lead times by class, purchase order to on site ¹

Figures as of October 2026, in critical IT megawatts. Pipeline figures are indicative. Every grid site has signed utility service documents. Project Omega timing is a target.

OUR BET

AI infrastructure will be financed on what it produces, not on what it costs to build. Power quality decides how much useful compute a tenant gets out of every chip it buys. We build for that number.

01 / IN DEVELOPMENT NOW

A flagship campus and a grid portfolio behind it

Large scale where we make our own power, fast track where the power already exists. About 1 GW of critical IT across both.

Texas Panhandle · Behind the meter
720 MW
PROJECT OMEGA · TEXAS PANHANDLE

Our flagship campus: 720 MW of critical IT on its own islanded natural gas plant, with Phase 1 of 360 MW targeted for ready for service in Q2 2028.

Power
Reciprocating engines and battery storage · gas supply structured on two interstate pipelines · five days of on-site LNG · grid backup path with access to both the SPP and ERCOT grids
Status
Land under term sheet · existing, energized 345 kV switching at the site · 50% data hall design sets complete
Fast-track grid campuses
15–100 MW
OHIO · INDIANA · TEXAS · ARKANSAS · LOUISIANA

Grid campuses built on power that already exists, sized 15 to 100 MW each, to put tenants in production first while large-scale campuses build out.

Power
Signed utility documents at every site: electric service agreements, facilities extension agreements or load letters
Status
Utility documents signed · site diligence under way · October 2026

See the portfolio

02 / THE MODEL

Four things, documented

Data center capacity fails for predictable reasons: power that never arrives, land that never permits, equipment that never ships, communities that never consent. Our gate process documents all four before a lease is signed.

Power

Power, documented

Grid service where it already exists, our own generation behind the meter where it does not. Our sites pay for the grid upgrades they require.

Sites

Sites, qualified

Land qualified by our own AI siting and diligence platform before we ask for a tenant's time.

Supply

Supply, scheduled

Generator sets quoted at six to eight months from purchase order, and switchgear, transformers and cooling at three to nine months by class,¹ bought directly from manufacturers.

Community

Community, in writing

We do not seek local tax abatements, and we offer each host county a binding agreement that carries our commitments on water, light, sound and emissions.

03 / ENGINEERING

Built for the AI era

Leased by the building, not by the rack. Each 40 MW reference building is engineered for one AI tenant running dense training or inference, and a campus can be one tenant's or several. Not retail colocation retrofitted for the moment.

Density

Designed to 240 kW per rack

Liquid cooled, DC power ready halls designed to 240 kW per rack at steady state, about 85 kW on air and the rest direct to chip, with power delivery sized for AI load steps of up to twice rack power. Built for rack scale systems from more than one chip vendor.

Efficiency

1.1 to 1.2 design PUE ²

No cooling towers and never any evaporative cooling. Less energy overhead and no strain on local water, for the same compute.

Power quality

Grid grade power engineering

Harmonic management, rack level supercapacitors and blended peaking plus baseload generation. Power quality engineered into the campus, not bolted on.

¹ Program standard based on supplier quotations; dated quotations are available to qualified counterparties under NDA. Timing depends on equipment class, configuration, order date, factory allocation and federal equipment rules.
² Annualized design target. Generation and cooling are sized more conservatively, for the hottest design day at site elevation; final figures depend on site and climate.
04 / HOW WE WORK WITH TENANTS

A technology company that is also your landlord

Tenants first

Your landlord, never your competitor

We develop the powered, cooled building and stay in it as your landlord. You keep every chip and every customer. We do not run a cloud.

GPU capacity

Capacity resale, only on your instruction

Your GPUs run in our halls. If you want to sell spare capacity, we bring buyers on your terms and only on your written instruction. We never operate your GPUs and never share one tenant's information with another. How it works

Technology

AI-native from site to lease

Our own AI agents, built in house on commercial foundation models, run land qualification, diligence, underwriting and competitive intelligence.

05 / WHO WE WORK WITH

Three conversations we are ready for

AI and cloud

Need megawatts on a real schedule?

Fast-track grid capacity first and behind-the-meter scale next, on timelines the grid alone cannot offer. Discuss capacity

Utilities and cooperatives

A developer that shows up with proof

We bring our commitments to the first meeting and pay our own way on the grid. Our commitments

GPU capacity

GPU capacity and interim space

Resale of tenant GPU capacity at the tenant's written instruction, and interim colocation in partner facilities for tenants who need to deploy before their building energizes. How it works

The power is the product.

Every Solomon campus starts where most projects stall: documented power. Tell us what you need to deploy, and we will show you how fast we can stand it up.

Start the conversation