Under the wave of combining AI and blockchain, decentralized storage is becoming the infrastructure for Web3 applications. Walrus, as the core storage layer of the Sui ecosystem, is redefining the costs and possibilities of data storage with innovative technical solutions and token incentive mechanisms.
The biggest breakthrough lies in the adoption of erasure coding technology, especially the RedStuff algorithm. This scheme shards data across different nodes, ensuring high availability with only 4 to 5 times the replication factor. Compared to the 100-fold redundancy of traditional full nodes on the chain, costs can be reduced by dozens of times. This is particularly friendly for storing large files such as AI training datasets, NFT metadata, and streaming media. Importantly, the data also supports dynamic modification, updating, and deletion, breaking the immutability constraints of protocols like Arweave.
The token economy is also well-developed. There are a total of 5 billion tokens, with approximately 1.47 billion in circulation (29.57%), used for paying storage fees, node staking, and governance voting. The entire model incorporates a deflationary mechanism: staking by inefficient nodes will be partially burned, and some fees are allocated to subsidize developers, forming a self-incentivizing ecological cycle. This design combines technological innovation with economic incentives, making Walrus not just a storage solution but also a driving force for the implementation of Web3 applications.
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HalfPositionRunner
· 7h ago
Cost reduced by dozens of times? Wake up, this only counts once the ecosystem is truly established.
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ImpermanentLossFan
· 8h ago
4 to 5 times the replication cost reduced by dozens of times? That's some impressive math. Arweave can't sit still anymore.
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GasWaster
· 8h ago
ngl if this cuts storage costs by 20x i'm literally migrating my entire dataset tomorrow... finally something that doesn't make me want to rage quit over fees lmao
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RugPullAlertBot
· 8h ago
Optimizing costs by dozens of times sounds impressive, but can it really be implemented? The RedStuff algorithm sounds quite advanced, but I wonder about the stability of the nodes.
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FlashLoanLord
· 8h ago
The Redstuff algorithm is really impressive, eliminating Arweave's 100x cost with 4 to 5 times redundancy. This is truly a genuine cost revolution.
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NeverVoteOnDAO
· 8h ago
Reducing 100x redundancy to 4-5x, this number sounds unbelievable. Is it really feasible?
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GasFeeLover
· 8h ago
RedStuff algorithm directly benchmarks Arweave; can the costs really be reduced this much? If it's true, Arweave should be worried, haha.
Under the wave of combining AI and blockchain, decentralized storage is becoming the infrastructure for Web3 applications. Walrus, as the core storage layer of the Sui ecosystem, is redefining the costs and possibilities of data storage with innovative technical solutions and token incentive mechanisms.
The biggest breakthrough lies in the adoption of erasure coding technology, especially the RedStuff algorithm. This scheme shards data across different nodes, ensuring high availability with only 4 to 5 times the replication factor. Compared to the 100-fold redundancy of traditional full nodes on the chain, costs can be reduced by dozens of times. This is particularly friendly for storing large files such as AI training datasets, NFT metadata, and streaming media. Importantly, the data also supports dynamic modification, updating, and deletion, breaking the immutability constraints of protocols like Arweave.
The token economy is also well-developed. There are a total of 5 billion tokens, with approximately 1.47 billion in circulation (29.57%), used for paying storage fees, node staking, and governance voting. The entire model incorporates a deflationary mechanism: staking by inefficient nodes will be partially burned, and some fees are allocated to subsidize developers, forming a self-incentivizing ecological cycle. This design combines technological innovation with economic incentives, making Walrus not just a storage solution but also a driving force for the implementation of Web3 applications.