Is there really a need to say more about the heat of the AI track? From the skyrocketing market capitalization of Nvidia to the blooming of ChatGPTs everywhere, this wave is visible to everyone.

But the question arises - how can ordinary people get a piece of the pie?

The technical threshold is too high, and the capital volume is insufficient. Should we just watch the giants feast? Today, let's discuss a different perspective.

What is the biggest bottleneck in AI development? Computing power.

Training a decent large model requires burning through thousands to tens of thousands of top-tier GPUs, running 24 hours non-stop. Now these resources are basically monopolized by tech giants like Amazon, Google, and Microsoft, with rent prices that are exorbitantly high, making it impossible for ordinary teams to afford.

The market gap is right here.

The GAIB project follows the DePIN route - a decentralized physical infrastructure network. It sounds quite convoluted, but the logic is actually very simple.

You can think of it as the "Airbnb of the computing power world."

There are plenty of idle GPUs globally, including those from mining farms transitioning, underutilized small and medium data centers, and even high-end graphics cards in personal hands; these resources are scattered everywhere. What GAIB aims to do is integrate this computing power and build a decentralized rental market.

Those who need computing power can rent resources at a lower cost, while those who provide computing power can monetize idle hardware—it's a win-win situation.

Holders of the GAIB token indirectly invest in the infrastructure of the entire computing power network. The greater the demand, the higher the value of the network, and the more potential there is for the token.

This is what Web3 is truly meant to do - using decentralization to solve the problem of resource misallocation in the real world.