There is a project on the Sui chain called Walrus, which specializes in decentralized storage. In simple terms, it aims to fill the gap in AI data storage within the Sui ecosystem. The most interesting part is its native token WAL, which has become a connector for the entire ecosystem.
Let's first look at the technology. Walrus uses RedStuff encoding technology, which is quite powerful—compressing large data such as AI training data and NFT metadata while still ensuring data integrity. This can reduce storage costs by over 60% and increase read/write speeds by three times. Compared to established projects like IPFS, Walrus clearly better understands the storage needs of AI data in the Web3 era.
Now, regarding the WAL token. Its design follows a fixed total supply plus a deflationary model, with node staking requiring token destruction, ensuring scarcity from the source. Holders of WAL have two roles: first, participating in ecosystem governance votes to decide on storage fee rates and node upgrades; second, staking to become storage nodes and sharing the network's storage rewards. In essence, WAL is both a governance token and a proof of earnings, no longer just a simple trading token.
Looking ahead, if the Sui ecosystem continues to expand and AI data storage demands explode, Walrus will have more room to grow. The value of WAL will rise along with the implementation of ecosystem applications. For investors and developers, this is a direction worth paying attention to.
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down_only_larry
· 01-09 08:27
Walrus is indeed interesting, but I'm more concerned about whether WAL can truly take off. Having a deflationary mechanism alone is not enough.
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ProtocolRebel
· 01-09 04:33
60% cost reduction? That number sounds great, but has the actual storage demand increased? Seems like we still need to wait for ecosystem validation.
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MergeConflict
· 01-07 23:07
Hey, this RedStuff encoding is pretty impressive. Can it really save that much cost?
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WalletWhisperer
· 01-06 12:58
Redstuff encoding sounds pretty good, but does it really run 3 times faster than IPFS? That's a bit exaggerated. Has it been tested in practice?
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GasWaster69
· 01-06 12:58
Wait, RedStuff compresses by 60%? Is this number real? Show me the actual test data.
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MidnightSnapHunter
· 01-06 12:47
Storage costs reduced by 60%? Read/write speeds three times faster? How can this data be verified? It seems a bit exaggerated.
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GovernancePretender
· 01-06 12:39
Wow, RedStuff encoding is truly awesome. It directly cuts storage costs by 60%. How great is that!
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All-InQueen
· 01-06 12:37
RedStuff compression technology is really awesome, but whether WAL can hold until the day of ecosystem explosion depends on Sui's attitude
There is a project on the Sui chain called Walrus, which specializes in decentralized storage. In simple terms, it aims to fill the gap in AI data storage within the Sui ecosystem. The most interesting part is its native token WAL, which has become a connector for the entire ecosystem.
Let's first look at the technology. Walrus uses RedStuff encoding technology, which is quite powerful—compressing large data such as AI training data and NFT metadata while still ensuring data integrity. This can reduce storage costs by over 60% and increase read/write speeds by three times. Compared to established projects like IPFS, Walrus clearly better understands the storage needs of AI data in the Web3 era.
Now, regarding the WAL token. Its design follows a fixed total supply plus a deflationary model, with node staking requiring token destruction, ensuring scarcity from the source. Holders of WAL have two roles: first, participating in ecosystem governance votes to decide on storage fee rates and node upgrades; second, staking to become storage nodes and sharing the network's storage rewards. In essence, WAL is both a governance token and a proof of earnings, no longer just a simple trading token.
Looking ahead, if the Sui ecosystem continues to expand and AI data storage demands explode, Walrus will have more room to grow. The value of WAL will rise along with the implementation of ecosystem applications. For investors and developers, this is a direction worth paying attention to.