From FIL to AR, the track of on-chain storage has always been a big cake that a lot of capital wants to eat but can't eat, and this time Aptos Labs and Jump Crypto have also joined hands to participate in the battle, they have cut the AI track and made Shelby, the first "hot storage" infrastructure in Web3. What is Hot Storage? Only those who can run "high-frequency interactive content" such as AI, video, and games are called that. As a simple example, let's say you post a limited-time video on the chain and set it to "play button once per click, deduct 0.01 U to your wallet". Traditional on-chain storage can't do it at all, because the play button is clicked, the video has to wait for half a day to load, the charging mechanism has to be connected to another contract, there is no sense of experience, and once the data is uploaded, copyright control and dynamic permissions cannot be done But Shelby can do it: 1. The video is turned on in seconds, and the response is millisecond 2. Automatically settle the income every time you play 3. Permissions and encryption logic are written into the protocol layer, and creators define their own rules 4. And it will never be disconnected, so you don't have to worry about centralized cloud convulsions It makes "storing data" a money-making business, and whoever clicks on your videos, watches your content, and uses your tools can make money. You will be charged once you use it. In addition to Fil and AR, there are other on-chain storage solutions on the market, such as Walrus, which focuses on a "cheap archive". However, the positioning is completely different from Shelby: Shelby is more like a decentralized version of AWS S3, focusing on high-performance hot data, designed for real-time interactive content such as AI training, chain game status, and streaming media playback. Walrus is more like a backblaze on the chain, suitable for infrequent access and cheap archiving, such as NFT metadata, historical transaction records, etc. But it is slow to read and write, does not support dynamic updates, and has no monetization model, and is more of an "on-chain cold room". Let's take a look at the underlying technology: Shelby uses dedicated fiber + Clay encoding + hierarchical network, sub-second response, and dynamic permission control; Walrus relies on erasure coding redundancy on Sui + full-chain verification, which has high gas cost and high latency. From the perspective of commercial implementation, Shelby currently has partners such as NBCUniversal, Metaplex, and Story Protocol, and pays more attention to compliance and closed-loop data revenue. Walrus, on the other hand, is mainly a long-tail project on Sui, and the depth and breadth of applications need to be expanded. But in the end, it depends on whether the market buys or not. NBCUniversal, Metaplex, and Story Protocol are the first brands that Shelby has partnered with, so let's continue to pay attention to what these large customers say about it, after all, the storage track, the business can complete the closed loop, and the project with cash flow can rush to the top.