Decentralized AI Training Booms: 20x Growth Leading Centralized Solutions

【Crypto World】An interesting technological trend worth paying attention to—decentralized training is rapidly growing. According to in-depth research by Epoch AI (analyzing over 100 papers), the computational scale in this area is exploding at a rate of 20 times per year, far surpassing the 5 times annual growth rate of centralized training.

Why is it growing so fast? The core advantage boils down to two words: security. By enabling distributed learning across multiple nodes, it not only better protects data privacy but also significantly enhances system fault tolerance.

In reality, decentralized training is currently about 1,000 times smaller than cutting-edge centralized solutions, a clear gap. But this is not a fatal problem—technologically, it is entirely feasible. With the release of network effects, it is entirely possible to support broader groups working together to develop more powerful models. In other words, distributed AI training is not a distant future but an ongoing present.