A $4 TRILLION PROBLEM

The Gigafactory for AI Compute

Rapid deployment. High density powered by proprietary thermal design. Price performance that wins across cycles.
Built for Scale
Transparent Energy Profile
99.99% Uptime Target
a $4 Trillon problem

The Gigafactory for AI Compute.

Rapid deployment. High density powered by proprietary thermal design. Price performance that wins across cycles.
Built for Scale
Transparent Energy Profile
99.9% Uptime
A solar farm with rows of solar panels connected by green digital lines to a large black energy storage unit.
Built for the AI 
Compute Ecosystem
ABOUT LIQUID ENERGY

Liquid Energy is building the gigafactory for AI.

We deploy modular compute in the right locations and run it with first-class data center discipline. Our proprietary thermal stack pushes high-density air-cooled performance while holding tight control of cost and uptime. The result is reliable, low-cost AI compute online in weeks, not years, with economics that hold as pricing normalizes.

85%
Reduction in Cooling Costs
0%
Water Consumption
<8 Weeks
To Deployment
60% Lower
CapEx for Data Center Build Out
OUR TECHNOLOGY

Proprietary thermal stack for high-density GPU clusters. Ready wherever you need compute.

Ariel Jędrzejczak
Designer of Forerunner™
PROBLEMS WE SOLVE

Our Innovation

Solving deployment, density, and thermal constraints so useful compute comes online faster.

OUR FOCUS AREAS

Dual Capabilities for Hyperscale AI

Disciplined compute operations paired with hyper scalable thermal stack. High density, clean scale, superior price performance.
1. Compute Operations
We deliver and operate high-density GPU capacity with clear SLAs, observability, and 24/7 oversight. Direct commitments and specialist marketplaces support utilization.
2. Thermal Technology
HPC AI workloads are thermal-limited. Our liquid cooling removes the limit. More compute per rack. Less energy per calculation. Superior economics at scale.
FUNDING

Investment
Opportunity

Traditional builds take years and heavy capex. Our modular model compresses timelines and lowers true cost per GPU hour.
Investor Overview
Investor Overview
Market Opportunity
AI compute market demand is growing faster than supply.
Competitive Advantage
Cost-focused design and operations protect margins.
REAL WORLD APPLICATIONS

Use Cases

Large solar panel farm in a desert with a central black container connected by green cables.
Solar Farms
Renewable-Adjacent Siting
Near solar and wind parks for energy-aware operations.
Natural Gas Factories
Industrial Grid Hubs
Close to substations and peaker plants for fast activation.
Portable Logistics
Modular Container Systems
Portable MW blocks for rapid scale and relocation.
FAQ

Common
questions

How fast can you activate capacity?

Weeks from grid-ready status, subject to site readiness and scope.

What is proprietary about your thermal technology?

Our stack combines airflow containment, rack and aisle sensing, and adaptive control algorithms to sustain high-density AI workloads with lower thermal overhead.

Do you support high-density racks with air cooling?

Yes. Designed for sustained AI workloads at high density.

Where do you deploy?

Grid-ready regions that support fast activation and strong operating economics.

How do you price capacity?

Transparent hourly or reserved terms with SLAs, aligned to workload and term.

Do you work with marketplaces and brokers?

Yes. We support direct, brokered, and marketplace distribution.Clean semantic structure, optimized headings, editable meta tags, and fast-loading visuals make it easier for your site to rank. You can also add alt text, custom slugs, and integrate tools like Google Analytics or Search Console without hassle.

What is the investment structure?

Ring-fenced project entities. Details provided via the Investor Overview.

Contact

Get in touch

Have questions or need assistance? Reach out to us through our contact form below. We're here to help you connect and collaborate!
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