👑 Who Owns the Power?
Most people see artificial intelligence as just an app on their phone. Behind this simple screen lies a vast world of data centers, electricity, connectivity, and computing equipment.
Today, a significant portion of global computing is concentrated in the hands of the largest tech companies—Amazon Web Services, Microsoft Azure, Google Cloud, and other major data center operators. They build the infrastructure, set access rules, and determine rental prices.
Demand grows alongside AI, data processing, graphics, and digital services. Large companies need entire clusters, while smaller developers and businesses often require not a giant data center, but affordable power for a specific task.
💰 Why Is the Equipment Expensive?
Modern accelerators, server memory, fast networks, and reliable power supply truly cost a lot. Especially when it comes to large systems for banks, research centers, pharmaceuticals, or AI training.
But not every task requires a whole fleet of computing machines. There’s a huge market made up of individual jobs that can be performed by independent servers and small sites.
🐜 The Digital Ant Colony Tactic
One independent participant can provide a graphics card or server. Another — storage space. A third — an internet connection or data from a sensor. Together, thousands of such participants create a network capable of handling real orders.
Computing servers hold a special place in this ant colony. They require substantial investment, but are easy to combine, compactly place, and scale more predictably: the first working machine can become the start of a rack and eventually a dedicated computing site.
DePIN doesn’t negate large clouds nor promise to beat them in every task. It creates a second route: distributing part of the workload among independent hardware owners and giving people the opportunity to participate in the digital economy not only as clients but also as owners of active computing power.