In the Web3 narrative, people often praise the surge of "computing," but they tend to overlook a more fundamental issue—the capacity of "data" to carry information. Today, let's take a closer look at a project that is transforming the underlying infrastructure. It is not just a storage solution but more like a technological breakthrough addressing data redundancy issues and the contradiction of immutability.

Starting from the architecture, the core innovation of this project revolves around two concepts: the Red-Black dual-layer model and the Seal mechanism.

The brilliance of the Red-Black architecture lies in the separation of responsibilities. The Red nodes are dedicated to erasure coding and data reconstruction. Simply put, they use a technical approach similar to Reed-Solomon encoding in the telecommunications field but have been optimized for decentralized, dynamic environments to make data recovery more efficient. The Black nodes focus on data distribution and querying, allowing the system to tolerate a large number of node outages without sacrificing read speed.

Next, the Seal mechanism. Traditional storage systems are straightforward—the data is locked once on the chain and cannot be changed. However, this scheme breaks through that boundary by designing dynamic Blobs, giving data a more flexible lifecycle management. This is not just a simple modification feature but a fundamental redefinition of the meaning of "immutability."

Why is this design so critical? Because it solves a long-standing pain point in distributed storage: how to ensure data integrity while making the system both efficient and fault-tolerant. When nodes can go offline at any time and network stability is uncertain, traditional backup strategies often lead to massive data redundancy. This scheme reduces redundancy through erasure coding and a multi-layer architecture, significantly improving space utilization.

For Web3 applications, what does this mean? On-chain applications no longer need to store all data on the main chain. They can safely store large data blocks in decentralized storage networks, saving gas fees while ensuring data verifiability and long-term availability. This can enhance cost efficiency for NFT projects, GameFi applications, and even AI model storage.

From a market perspective, innovations in the data storage layer are often prioritized before the compute layer. When the ecosystem applications explode, storage demands will become a bottleneck. Projects that lay out this infrastructure early have considerable future potential. Currently, in this stage of technological accumulation, understanding its operational mechanism is very helpful for assessing its long-term prospects.