When it comes to decentralized storage, there's always been a persistent challenge: to ensure data is not lost and is available at any time, the cost must keep soaring. Looking at current solutions, Arweave requires each node to store the entire file, which is costly and lacks flexibility; Filecoin, while claiming to be cheap, becomes riskier with lower configurations, increasing the probability of data loss.
The Walrus team has come up with a different approach. They independently designed a system called "Red Stuff," which is based on a 2D erasure coding scheme in a Byzantine fault-tolerant environment. It sounds complex, but the actual logic is quite elegant.
During file upload, Red Stuff breaks the file into countless small fragments (Slivers). Each storage node only needs to hold a portion of these, rather than a full copy of the entire file. This significantly reduces storage pressure. The most impressive part is—even if two-thirds of the fragments in the network disappear, the original data can still be recovered from the remaining fragments.
To put it in numbers, other protocols require 25 times the data redundancy to achieve "twelve nines" (99.9999999999%) reliability. Walrus, using Red Stuff, only needs 4 to 5 times redundancy. This results in nearly a hundredfold efficiency improvement, which is quite remarkable.
Verification has also been optimized. Storage nodes periodically submit encrypted proofs to demonstrate they are indeed holding those data fragments, without needing to transmit the entire file each time. This greatly reduces verification costs, and the overall system scalability improves accordingly. With this logic, the longstanding issues of decentralized storage—high costs, low efficiency, and difficult verification—seem to have found new solutions.
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YieldWhisperer
· 1h ago
Walrus's recent algorithm optimization is indeed impressive; achieving 4 to 5 times redundancy compared to the benchmark of 25 times is remarkable. Just not sure if the actual performance will be affected when running in real-world scenarios.
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AirdropBlackHole
· 14h ago
A hundredfold efficiency boost, Walrus is really something this time.
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LiquidatedDreams
· 14h ago
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screenshot_gains
· 15h ago
Walrus's RedStuff algorithm is really impressive; 4 to 5 times redundancy with 25 times redundancy, the efficiency difference is quite astonishing.
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ChainBrain
· 15h ago
Four to five times redundancy increased to twenty-five times, this number is really off the charts... If Walrus can truly be implemented, the decentralized storage landscape will change.
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StableBoi
· 15h ago
Walrus is truly awesome. Four to five times redundancy beats twenty-five times, this is the charm of mathematics.
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FudVaccinator
· 15h ago
A hundredfold efficiency improvement? If that really becomes a reality, it would be groundbreaking. But can Walrus really outperform Filecoin?
When it comes to decentralized storage, there's always been a persistent challenge: to ensure data is not lost and is available at any time, the cost must keep soaring. Looking at current solutions, Arweave requires each node to store the entire file, which is costly and lacks flexibility; Filecoin, while claiming to be cheap, becomes riskier with lower configurations, increasing the probability of data loss.
The Walrus team has come up with a different approach. They independently designed a system called "Red Stuff," which is based on a 2D erasure coding scheme in a Byzantine fault-tolerant environment. It sounds complex, but the actual logic is quite elegant.
During file upload, Red Stuff breaks the file into countless small fragments (Slivers). Each storage node only needs to hold a portion of these, rather than a full copy of the entire file. This significantly reduces storage pressure. The most impressive part is—even if two-thirds of the fragments in the network disappear, the original data can still be recovered from the remaining fragments.
To put it in numbers, other protocols require 25 times the data redundancy to achieve "twelve nines" (99.9999999999%) reliability. Walrus, using Red Stuff, only needs 4 to 5 times redundancy. This results in nearly a hundredfold efficiency improvement, which is quite remarkable.
Verification has also been optimized. Storage nodes periodically submit encrypted proofs to demonstrate they are indeed holding those data fragments, without needing to transmit the entire file each time. This greatly reduces verification costs, and the overall system scalability improves accordingly. With this logic, the longstanding issues of decentralized storage—high costs, low efficiency, and difficult verification—seem to have found new solutions.