There is always such a contrast in the market: when a project’s price plunges, retail investors tend to panic and cut losses, while top-tier investors quietly add positions. The story of Walrus is a typical example. Behind the price stabilization, the real competition actually happens at the technical level.
Walrus adopts the RedStuff 2D erasure coding scheme, which is not just a marketing concept. The dilemma faced by traditional decentralized storage is: either improve efficiency at the expense of security, or bear high bandwidth costs. The innovation of RedStuff lies in using a two-dimensional matrix code to decompose data into primary and secondary slices, stored in a distributed manner. This scheme has a remarkable core indicator — it can fully recover data with only a 4.5x replication factor, even in extreme cases where two-thirds of the slices are lost. Compared to one-dimensional coding schemes like Filecoin, the bandwidth consumption for data recovery is significantly reduced.
What’s even more interesting is its "self-healing" mechanism. When a new node joins or a faulty node restarts, only one-third of the nodes need to be pulled to restore the slices. This completely solves the problem of frequent node fluctuations in decentralized networks. Coupled with vector commitments and encryption verification mechanisms, it effectively eliminates the risk of data tampering from the source. The result is: Walrus’s performance experience is close to centralized cloud storage, while retaining all the advantages of decentralization.
From an ecological perspective, as the core data layer of Sui’s official ecosystem, Walrus naturally integrates with Sui’s storage fee mechanism, which undoubtedly locks in a huge demand base. When technical barriers meet ecological collaboration, the pattern begins to emerge.
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AlwaysQuestioning
· 7h ago
While retail investors are cutting losses, big players are bottom fishing. This routine is old news; the key is whether the technicals can hold up.
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alpha_leaker
· 8h ago
Retail investors cut losses, I buy in; this is the difference between retail investors and funds.
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MetaLord420
· 8h ago
When retail investors cut losses, I am analyzing the underlying technology. This is the real gap.
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SurvivorshipBias
· 8h ago
When retail investors are cutting losses, I am still researching RedStuff. To be honest, this 2D erasure code really has some substance.
The ones who truly make money are never following the trend; they understand where the technical barriers are.
Sui ecosystem locking in demand—big institutions saw through this early on.
By the way, a 4.5x replication factor benchmarked against Filecoin, the bandwidth cost difference is indeed significant.
Don't just look at the price; understanding the technology is what allows you to survive longer.
Good projects are like this: no one pays attention at first, then they are quietly absorbed.
Who is still struggling with not catching the bottom...
There is always such a contrast in the market: when a project’s price plunges, retail investors tend to panic and cut losses, while top-tier investors quietly add positions. The story of Walrus is a typical example. Behind the price stabilization, the real competition actually happens at the technical level.
Walrus adopts the RedStuff 2D erasure coding scheme, which is not just a marketing concept. The dilemma faced by traditional decentralized storage is: either improve efficiency at the expense of security, or bear high bandwidth costs. The innovation of RedStuff lies in using a two-dimensional matrix code to decompose data into primary and secondary slices, stored in a distributed manner. This scheme has a remarkable core indicator — it can fully recover data with only a 4.5x replication factor, even in extreme cases where two-thirds of the slices are lost. Compared to one-dimensional coding schemes like Filecoin, the bandwidth consumption for data recovery is significantly reduced.
What’s even more interesting is its "self-healing" mechanism. When a new node joins or a faulty node restarts, only one-third of the nodes need to be pulled to restore the slices. This completely solves the problem of frequent node fluctuations in decentralized networks. Coupled with vector commitments and encryption verification mechanisms, it effectively eliminates the risk of data tampering from the source. The result is: Walrus’s performance experience is close to centralized cloud storage, while retaining all the advantages of decentralization.
From an ecological perspective, as the core data layer of Sui’s official ecosystem, Walrus naturally integrates with Sui’s storage fee mechanism, which undoubtedly locks in a huge demand base. When technical barriers meet ecological collaboration, the pattern begins to emerge.