When browsing community forums, I often see discussions about on-chain AI, but most posts emphasize how advanced the models are and how fast the reasoning speed is. Honestly, these viewpoints are missing the point.

The real bottleneck for on-chain AI has never been algorithms or hardware, but rather where and how to store the data. Imagine: when an AI application runs on-chain, it generates intermediate results, inference logs, training datasets—where should these be stored? How can we ensure that data is always accessible yet cannot be tampered with or lost? This is the key factor that determines the success or failure of the entire project.

Recently, I looked into some emerging projects' technical solutions and found something quite interesting. One project’s approach is—when storing any file, it automatically splits it into more than 10 data fragments, which are stored across different nodes. This number may seem arbitrary, but in fact, it’s carefully calculated: it means that a single point of failure is almost impossible to impact the system.

For on-chain AI applications, this mechanism is extremely important. The massive temporary data generated during model training (often in TB levels), if stored on traditional centralized servers, would be catastrophic if the server fails. But with this distributed storage structure, data is inherently embedded within the entire network, providing natural resilience. From a design perspective, this is like infrastructure specifically reserved for the long-term operation of on-chain AI applications.

Looking at actual usage statistics better illustrates the point. Recent storage data shows that over 30% of request content is not traditional media like images and videos, but structured datasets, model checkpoint files, and even inference execution logs. This shift in data structure precisely confirms that on-chain AI is becoming a core application scenario for certain projects. Whoever can make the data storage foundation the most stable and efficient is likely to become the dominant player in this invisible race.