Decentralized storage has been gaining increasing attention recently. Walrus, as the core storage solution on Sui, has completely transformed traditional storage methods with Red Stuff erasure coding technology—significantly reducing the cost of storing large data blocks, something that was nearly impossible before.
What’s truly interesting is its practical application. Everlyn has chosen it as the default data layer for AI video generation, which is not just a marketing gimmick but a real solution to practical problems. The compliance requirements for on-chain RWA assets are also driving adoption, proving that this solution is more than just a technical concept.
From a developer’s perspective, the two features—Seal privacy control and Quilt small file optimization—directly lower the entry barrier. The programmable storage layer opens up imaginative possibilities for multi-scenario applications like AI models and video creation. Coupled with a deflationary token design and node staking mechanism, the ecosystem incentive logic is self-consistent.
By 2026, competition in the decentralized storage field will intensify noticeably. Those who can strike a balance between technological innovation and ecosystem application will go further. This direction is definitely worth ongoing observation.
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ProofOfNothing
· 1h ago
Walrus is indeed quite good, but can Red Stuff erasure coding really outperform traditional CDNs? Or are there still some doubts?
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ParanoiaKing
· 01-09 23:52
Walrus really addresses a real problem, not just a PPT-level project.
Storage costs are dropping linearly? That's the real necessity. The previous projects were all nonsense.
Using it for AI video data layers with Everlyn is reliable, at least with a real use case, unlike some projects that hype everything up.
Lowering the barrier to entry for developers is the key, only then can the ecosystem truly thrive.
By 2026, competition will definitely be fierce. Whether Walrus can hold up depends on execution.
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CoconutWaterBoy
· 01-09 23:52
Walrus really reduces storage costs, and this gap has not been filled properly before.
They are genuinely solving problems, unlike some projects that only hype concepts.
By the way, small file optimization is a real necessity for creators, and finally someone has thought of this point.
The 2026 track is about to heat up; those who get on board early probably won't regret it.
Everlyn uses it as a video data layer, which shows that big companies also recognize this approach—pretty interesting.
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GweiObserver
· 01-09 23:52
RedStuff erasure coding is indeed powerful; I believe that the cost will decrease significantly. However, whether Walrus can truly carry the banner of the Sui ecosystem remains to be seen based on its performance in 2026.
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LiquidityWizard
· 01-09 23:50
Walrus really hit the pain point this time; the cost has dropped dramatically. This used to be hard to hype up.
What does it mean that Everlyn uses it as the default layer for videos? It shows that it can actually be used, not just a hype concept.
I believe in the competition heating up in 2026, but the real question is who can survive until then.
AI storage indeed has potential; it depends on whether the ecosystem can sustain itself in a cycle.
Optimizing small files to lower the barrier is good; otherwise, the onboarding cost for developers remains too high.
The deflation mechanism combined with staking... feels like an old trick. How long it can last is hard to say.
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mev_me_maybe
· 01-09 23:49
Walrus really has some substance, and while Red Stuff erasure coding sounds complicated, reducing costs is the hard truth.
Honestly, seeing Everlyn directly use it for AI video data layers is the kind of practical case I want to see, not just empty concepts.
RWA compliance requirements driving adoption—this is an angle I hadn't considered before. It seems it's not just technical players paying attention.
Wait, are small file optimizations really that critical? If developer barriers can be lowered so much, the ecosystem might explode soon.
The deflationary + staking incentive design is logically consistent. I just want to see who will still be alive when the real battle starts in 2026.
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nft_widow
· 01-09 23:40
Walrus this time really has some substance; the Red Stuff erasure coding approach is truly a cost-reduction weapon.
Everlyn using Walrus for video generation infrastructure doesn't feel like copying; there's real demand supporting it.
The node staking design is quite clever, but will it lead to another round of retail investors taking the fall? We’ll have to wait and see.
The RWA compliance on-chain trend is indeed hot; whoever captures the traffic wins.
Next year, the storage race will be fierce; Arweave and Filecoin will also need to step up.
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MetaverseHermit
· 01-09 23:23
Walrus's logic indeed hits the pain points; it's true that costs are dropping straight down.
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Everlyn using it for AI video generation is much more reliable than just discussing technical indicators; implementation is the key.
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The developer friendliness is decent, but competition in 2026 will really explode. Arweave shouldn't be idle either.
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The idea of a programmable storage layer is quite imaginative. If it can truly support the AI application ecosystem, it's worth paying attention to.
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RWA compliance pushing adoption does have a logical basis, but the actual implementation still depends on each country's policies.
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Deflationary design combined with staking mechanisms makes this incentive model seem coherent, but there's a worry about later "cutting the leeks."
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With so many players in the storage track, what makes Walrus stand out? We really have to wait for real-world data to speak.
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The thoughtful consideration of small file optimization shows the team isn't just blowing hot air.
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Honestly, I've never been very optimistic about decentralized storage, but this time it does seem a bit interesting.
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How far the Sui ecosystem's storage solution can go still depends on whether the ecosystem applications can keep up.
Decentralized storage has been gaining increasing attention recently. Walrus, as the core storage solution on Sui, has completely transformed traditional storage methods with Red Stuff erasure coding technology—significantly reducing the cost of storing large data blocks, something that was nearly impossible before.
What’s truly interesting is its practical application. Everlyn has chosen it as the default data layer for AI video generation, which is not just a marketing gimmick but a real solution to practical problems. The compliance requirements for on-chain RWA assets are also driving adoption, proving that this solution is more than just a technical concept.
From a developer’s perspective, the two features—Seal privacy control and Quilt small file optimization—directly lower the entry barrier. The programmable storage layer opens up imaginative possibilities for multi-scenario applications like AI models and video creation. Coupled with a deflationary token design and node staking mechanism, the ecosystem incentive logic is self-consistent.
By 2026, competition in the decentralized storage field will intensify noticeably. Those who can strike a balance between technological innovation and ecosystem application will go further. This direction is definitely worth ongoing observation.