Early stage — waitlist now open

Own a stake in the
infrastructure powering AI.

$391B Global AI market size in 2025, projected to reach $3.5T by 2033
$194B NVIDIA data center revenue in FY2026 — up 68% year over year
4–5× Annual growth in compute used to train frontier AI models
$6.7T Projected global data center capital investment needed by 2030
How it works

A simple model built on real hardware

Your capital buys physical, revenue-generating infrastructure — not promises.

Investors contribute capital to a pooled GPU fund
01

You invest

Investors contribute capital to a pooled fund. Every dollar is allocated to a specific, auditable purchase of GPU hardware — you always know what your money bought.

Enterprise GPUs deployed in a professional data center
02

We buy & deploy GPUs

We purchase enterprise-grade GPUs and deploy them in professional data centers with redundant power, cooling, and connectivity. We handle sourcing, operations, and maintenance end to end.

GPU compute rented to AI companies generating returns
03

AI companies rent the compute

The GPUs are rented to AI companies for training and inference workloads. Rental revenue, minus operating costs, flows back to investors as returns.

Why GPU compute

An asset class born from the AI boom

Compute has become one of the scarcest resources in the AI economy.

01

Structural demand

Every AI product — from chatbots to drug discovery — runs on GPU compute. Demand for training and inference capacity continues to outpace supply.

02

Hardware-backed

Your investment is backed by physical, resellable hardware sitting in a data center — not by a token, a projection, or someone else's balance sheet.

03

Recurring revenue

GPUs generate income continuously while rented. Compute contracts with AI companies create a stream of recurring, usage-based revenue.

04

High barrier to entry

Enterprise GPUs are expensive, supply-constrained, and complex to operate. Pooled capital lets individual investors access an asset class normally reserved for institutions.

05

Professional operations

Procurement, data center contracts, cluster management, and customer sales are handled by our team. You invest; we operate.

06

Transparent by design

Utilization, revenue, and costs are reported to investors on a regular schedule. You see how your hardware is performing.

Chart showing AI compute market growth from $391 billion in 2025 to $3.5 trillion by 2033
The market

AI's appetite for compute keeps growing

The global AI market was valued at roughly $391 billion in 2025 and is projected to grow to around $3.5 trillion by 2033. Behind every model powering that growth sits GPU infrastructure.

The compute used to train frontier AI models has been growing 4–5× per year, and McKinsey projects that meeting global demand for AI-ready data center capacity could require $6.7 trillion in capital investment by 2030.

That capital has to come from somewhere. We believe individual investors should be able to participate in — and profit from — building this infrastructure.

Get early access
Security & trust

Built for accountability from day one

  • Real, verifiable hardware. Every GPU purchase is documented, serialized, and reported to investors.
  • Professional data centers. Hardware lives in facilities with physical security, redundant power, and enterprise SLAs.
  • Segregated funds. Investor capital is held separately from operating funds until deployed into hardware.
  • Regular reporting. Utilization, revenue, and cost reports on a fixed schedule — no black boxes.
Secure data center facility housing GPU hardware
FAQ

Common questions

What exactly am I investing in?

Investor capital is pooled and used to purchase enterprise GPU hardware, which we deploy and rent to AI companies. Returns come from the compute rental revenue that hardware generates, net of operating costs.

What returns can I expect?

We're an early-stage company and don't publish return projections. Detailed terms, fee structures, and risk disclosures will be shared with waitlist members before we open for investment.

Who do you sell the compute to?

AI companies and teams that need GPU capacity for model training and inference — from startups to research labs. Compute is sold through rental contracts and marketplace platforms.

What happens if a GPU fails or demand drops?

Hardware is covered by warranties and operated in professional facilities to minimize failures. Like any investment, returns are not guaranteed — full risk disclosures will be provided before you invest.

When can I invest?

We're currently in the waitlist phase. Join the waitlist and you'll be the first to hear when we open for investment, with priority access.

Join the waitlist

Be first in line when we open

Leave your email and we'll notify you when we open for investment. Waitlist members get priority access.