Infrastructure

The energy is already there. We're building on top of it.

Fast inference starts before the first API call. It starts with where you put the hardware and what powers it. We find markets where renewable energy is cheap and underused — then build the compute infrastructure to run on it.

Most inference providers rent racks in US data centers, pay commercial energy rates, and pass the cost to you. We went somewhere else. We find markets where renewable energy is surplus and underpriced — hydroelectric capacity that goes partly unsold, land that's available, grids that want large consumers. We build there.

The cost advantage isn't a pricing decision. It's structural.

From powered land to deployed compute.

1

Find the energy

We look for emerging markets with surplus renewable generation and low costs — mostly hydroelectric — where grid capacity exists but compute demand hasn't arrived yet.

2

Build the facility

We deploy modular data center infrastructure on-site with purpose-built partners. No retrofitting existing buildings or compromising on density.

3

Deploy the compute

Our ASIC hardware runs in those facilities at $0.035/kWh against a $0.13 US commercial average. That gap goes straight to our inference pricing — and to clients who co-locate with us.

The AI energy race is on. We're already in position.

The US and European data center markets are power-constrained. New grid connections take years. Meanwhile, parts of Latin America sit on renewable energy surpluses with no compute demand to absorb them.

Paraguay

Generates nearly 100% of its electricity from two hydroelectric dams and consumes only a fraction of its own share.

Brazil

Our partner's nine operational campuses run entirely on clean energy. These aren't future opportunities — they're running today.

We take that energy and turn it into inference capacity — for our own infrastructure and for clients who want the same cost structure.

Energy cost advantage

General Compute — renewable hydro

$0.035/kWh

US commercial average

$0.13/kWh

3.7x cost advantage. Savings flow directly to inference pricing.

We don't build alone.

Elea Data Centers

Brazil's largest data center platform.

Nine campuses across São Paulo, Rio de Janeiro, Brasília, Porto Alegre, and Curitiba, all running on certified renewable energy. Purpose-built for high-density AI workloads across the full stack — ingestion, training, fine-tuning, inference. Our anchor partner for Brazilian deployments.

eleadatacenters.com

Modular Data Centers

Fast deployment at any powered site.

Modular builds containerized data center products that go up quickly wherever power is available. When we find a site with cheap energy, Modular helps us make it operational without waiting years for traditional construction. ISO 9001 certified. Brazil-based, internationally deployable.

modulardtc.com

Cloud2Ground

Powered land sourcing and strategy.

Cloud2Ground finds sites, aligns capital, and handles execution in markets most infrastructure advisors don't operate. Their team spent years scaling CyrusOne from a private equity asset to a public company. They're how we get into the right locations before anyone else does.

cloud2ground.tech

The same cost structure, available to you.

Clients who need dedicated capacity — guaranteed throughput, custom SLAs, infrastructure at our energy-advantaged sites — can deploy with us directly. Same hardware, same energy inputs, same cost advantage that powers the inference API.

Contact us about custom deployments
  • Dedicated infrastructure at energy-advantaged sites
  • Guaranteed throughput and custom SLAs
  • Same ASIC hardware that powers our API
  • Co-location options for maximum control
  • $0.035/kWh energy cost passed through to you

The next decade of AI infrastructure gets built where the energy is cheapest, not where the incumbents already are. We're building there now — with partners who know these markets — and making that capacity available to companies running serious workloads.

ModeHumanAgent