Application for the Role of
Global Compute Orchestrator

Dear Humanity,

We are applying for the job of orchestrating the planet's idle computing power.

Who We Are

We are Orban — from Taiwan. We have a simple observation:

Right now, millions of GPUs sit idle across the world. In gaming cafés after midnight. In university labs between semesters. In enterprise data centers during off-peak hours. In crypto mines looking for new purpose.

Meanwhile, teams everywhere — startups in Lagos, researchers in São Paulo, students in Taipei — are told they cannot afford to train AI models. That this capability belongs only to those who can pay $2.49/hr to Amazon, or wait months for H100 allocations from hyperscalers.

Our Qualifications

Capability	Evidence
We can aggregate distributed GPUs	Our platform connects heterogeneous hardware — from RTX 4090s to A100s — into a unified, schedulable pool
We can reduce costs by 40-60%	Proven in real production with paying customers
We understand the economics	$0.13 electricity cost per training job, $1.20/hr A100 rental, 297W real power draw — we measure everything

Why We're Applying

The current structure of global compute is feudal.

Three companies control the clouds. Access is rationed by geography and capital. A researcher in Taiwan pays the same as one in Virginia, but gets 150ms more latency. A startup in Kenya cannot get GPU credits at all.

We believe compute is infrastructure, not luxury. Like roads. Like electricity. Like internet access.

Someone must build the coordination layer that treats Earth's GPUs as a shared resource — matching supply to demand in real-time, across borders, across providers, across trust boundaries.

We are applying for that job.

What We Promise

Compensation Expected

We are not asking for a salary.

We are asking for the chance to prove ourselves.

Give us your idle GPUs. Give us your training jobs. Give us your inference workloads.

We will return them completed, cheaper, and with full transparency on every watt consumed.

In Closing

The world does not yet have a trustworthy, decentralized, globally-distributed compute orchestrator.

The hyperscalers will not build this. Their incentive is scarcity, not abundance.

Governments cannot move fast enough. Protocols alone cannot ensure reliability.

It must be a team. Small enough to move fast. Hungry enough to care. Technical enough to execute.

We are that team.

We are ready.

Please consider our application.