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# The Real Bottleneck of Decentralized AI Isn't Computing Power
Recently, the concept of decentralized AI has become extremely popular, with various projects promoting "distributed GPU networks" and "everyone contributing computing power." It sounds very appealing, but here's the question—is this really a pressing need?
Is a shortage of computing power truly a problem? Just think about it—this false premise doesn't hold up. There are more idle GPUs worldwide than we could ever use, and cloud service providers like AWS and Google Cloud can be rented anytime and anywhere, with prices continuously decreasing. Computing power has never been in short supply.
So, what is truly hindering the development of decentralized AI? This is the question worth exploring in depth. Many projects focus on the wrong areas, making it difficult to see the real technical and business challenges that need breakthroughs.
Inference Labs' recent approach might offer us some insights—let's see how they interpret this issue.