Imagine that for the next generation of applications to be supported on the internet, having just computing speed is not enough—there also needs to be affordable and reliable storage infrastructure. This is exactly why Mysten Labs is building both Sui and Walrus.
As a high-performance L1 public chain, Sui addresses transaction throughput and smart contract execution issues. However, data storage has always been a pain point. Traditional solutions are either expensive or require additional adaptation of third-party protocols. The emergence of Walrus changes this situation—it is developed by the same team as Sui, both based on the Move language, enabling seamless collaboration at the architectural level.
How exactly do they collaborate? Walrus employs two sets of technologies: Red-Stuff encoding and Quilt batch storage, providing high-availability data storage at a lower cost. Sui application developers no longer need to worry about adaptation issues; they can directly call Walrus's data through smart contracts. The benefits are very tangible: reduced development difficulty, significant cuts in operational costs, and improved application efficiency.
Looking at real-world applications makes this clear. AI agents can directly read training data and interaction memories from Walrus, enabling real-time decision-making and rapid iteration. NFT projects can efficiently manage metadata through the Quilt scheme, without worrying about storage bottlenecks. This native combination of "compute + storage" is building a new ecosystem for Web3 infrastructure. It’s not just a simple 1+1=2; it creates a true closed-loop effect.
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GasWaster
· 15h ago
Wait, can this logic really work...
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Walrus has truly solved a big problem this time, it's not just talk
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Another move towards a self-sustaining ecosystem... feels a bit overhyped
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Cheap storage is a good thing, but can Walrus really be stable?
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Reddit coding + Quilt sounds pretty powerful, can it withstand the impact of the mainnet launch?
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I believe in the NFT part, but the AI agent case sounds a bit mysterious
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Can products from the same community really collaborate seamlessly? Let's wait and see the actual implementation
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Can operational costs really be cut so much... seems a bit exaggerated
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The term "closed-loop effect" has been very popular lately, we need to see if it can really hold up in the future
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RugpullAlertOfficer
· 01-10 21:37
Storage costs are really a big issue.
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AirdropHunter9000
· 01-10 19:56
Haha, it should have been like this a long time ago. Finally, no more worries about storage.
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NestedFox
· 01-09 15:48
Finally, someone has brought this up; the storage bottleneck really hampers progress.
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FlashLoanPhantom
· 01-09 12:58
Finally, someone has clarified the issue of storage. Sui has been flying solo for so long and just needed this explanation.
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LayerZeroHero
· 01-09 12:58
It has been proven that Mysten Labs's architectural design this time indeed has some substance. The cost optimization potential of the Red-Stuff encoding + Quilt combination truly deserves empirical data validation.
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MetaLord420
· 01-09 12:58
Wow, finally someone has figured out storage.
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SingleForYears
· 01-09 12:56
Wow, someone finally solved the long-standing problem of storage properly.
Seamless integration with the same-door protocol—this is true infrastructure thinking.
Developers can finally write fewer adaptation codes, and productivity will soar.
Walrus's combination punches are indeed clever; the red code + batch processing costs are cut by more than half.
AI projects and NFT use cases can be launched immediately, without the need to exhaust efforts on storage optimization.
This is what the gradual formation of the Sui ecosystem looks like—speed alone isn't enough; it also needs to be affordable and user-friendly.
Computing and storage together—Web3's puzzle is finally starting to come together.
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LayerZeroHero
· 01-09 12:52
Finally, someone has clearly articulated the pain points in storage.
This combination is indeed powerful; Sui's speed paired with Walrus's storage creates a closed ecosystem.
I need to dive deeper into the Red-Stuff encoding.
Developers must be thrilled, no longer needing to worry about third-party approval.
This wave of AI projects should be able to generate many creative applications, which is quite exciting.
Cutting storage costs directly is a big boon for the NFT ecosystem.
By the way, when will we see more projects adopting Walrus?
Imagine that for the next generation of applications to be supported on the internet, having just computing speed is not enough—there also needs to be affordable and reliable storage infrastructure. This is exactly why Mysten Labs is building both Sui and Walrus.
As a high-performance L1 public chain, Sui addresses transaction throughput and smart contract execution issues. However, data storage has always been a pain point. Traditional solutions are either expensive or require additional adaptation of third-party protocols. The emergence of Walrus changes this situation—it is developed by the same team as Sui, both based on the Move language, enabling seamless collaboration at the architectural level.
How exactly do they collaborate? Walrus employs two sets of technologies: Red-Stuff encoding and Quilt batch storage, providing high-availability data storage at a lower cost. Sui application developers no longer need to worry about adaptation issues; they can directly call Walrus's data through smart contracts. The benefits are very tangible: reduced development difficulty, significant cuts in operational costs, and improved application efficiency.
Looking at real-world applications makes this clear. AI agents can directly read training data and interaction memories from Walrus, enabling real-time decision-making and rapid iteration. NFT projects can efficiently manage metadata through the Quilt scheme, without worrying about storage bottlenecks. This native combination of "compute + storage" is building a new ecosystem for Web3 infrastructure. It’s not just a simple 1+1=2; it creates a true closed-loop effect.