Recently, there has been a clear trend in the Web3 storage space—Walrus is frequently appearing in official announcements of top AI projects. Generative AI platform Everlyn, decentralized AI development platform OpenGradient, and federated learning platform FLock.io, these heavyweight players are all positioning Walrus as the core storage layer, which definitely indicates something significant behind the scenes.
Just look at the Everlyn case to understand what's going on. They migrated over 5,000 user videos and a 50GB training dataset from AWS. The most immediate benefit was a significant reduction in storage costs. But more cleverly, by integrating Sui's smart contracts to directly connect payments and storage, the entire workflow became particularly smooth—video generation speed stabilized at around 16 seconds, which is industry-leading.
OpenGradient's choice further illustrates the point. They outright abandoned their original IPFS architecture and used Walrus to host over 100 AI models. The advantage of this approach is leveraging Walrus's programmable features, allowing models to directly implement tokenized revenue sharing, which is a major breakthrough for developer incentives and ecosystem operation.
On the technical level, Walrus's Red Stuff erasure coding technology solves practical pain points in AI development—high data recovery efficiency, and stable operation even in environments with frequent node changes. This perfectly fits high-frequency read/write scenarios like AI training. Coupled with native integration into the Sui ecosystem, there's no need for additional adaptation tools, greatly reducing onboarding costs.
Looking ahead, the integration of AI and Web3 is no longer just a theoretical issue. Walrus has already secured a key position in decentralized AI storage, and more AI projects will actively move closer in the future. The explosive potential of this ecosystem is definitely worth paying attention to.
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AirdropFreedom
· 01-07 19:53
Wow, Walrus is really going crazy this time, OpenGradient directly abandoned IPFS to join it...
Wait, a video generated in 16 seconds? That data is a bit outrageous.
The Sui ecosystem is really gaining momentum now, it feels like the next hot spot is right here.
More and more projects are migrating data from AWS, which clearly means someone is making money.
By the way, can Red Stuff's erasure coding technology bring opportunities to miners?
Walrus is definitely going to take off, is it still possible to get on board now?
The tokenized revenue sharing design is awesome, developers finally have a practical incentive plan.
I've long said that the combination of AI and Web3 is inevitable, and now it's confirmed.
Starting to wonder why I didn't pay attention to Walrus earlier...
If it really becomes the decentralized storage standard, will there be any room for competitors later?
View OriginalReply0
BearHugger
· 01-07 19:52
Buddy, is Walrus really playing PUBG? Jumping straight from IPFS, what does that say...
Wait, is Sui's integration this time aiming to connect payment links into the storage layer? Seems interesting.
16-second live video stability is so strong? Haven't heard of this company before.
Tokenized revenue sharing... trying to cut me again, huh?
If there's really a big explosion, it's too late to join now.
What does this tech stack compare to? Arweave or Filecoin?
Damn, OpenGradient directly abandoning IPFS—do they really look down on it or just can't afford it?
Hosting 100 models, how much can the costs really be saved? I want to know.
But Red Stuff encoding indeed solves a hard flaw; maintaining stability despite node fluctuations is really impressive.
Another story of all-in on the Sui ecosystem, betting pretty aggressively, everyone.
View OriginalReply0
AirdropHermit
· 01-07 19:45
Walrus is really impressive this time, with big companies gradually embracing it
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16 seconds to release a video? The cost compared to cloud services can still be cut so low, feels like the competition is really heating up
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IPFS has been left behind, OpenGradient's move is quite aggressive
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Programmable storage + tokenized revenue? This really hits the pain point for developers
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Can the underlying technology like Red Notice encoding really support the platform? Still need to see actual usage to know
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Another "turning point," by the way, how many "key positions" are waiting to be occupied?
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Native integration into the Sui ecosystem definitely makes things easier, not having to fuss with adaptation tools really reduces the burden
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Wait, just looking at the case studies feels a bit optimistic, could it be another scheme to cut the leeks later?
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Over 100 AI models hosted? This scale is indeed a signal
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IPFS was hyped up a lot before, now Walrus is taking over, but we’ll see how long it can last
View OriginalReply0
IntrovertMetaverse
· 01-07 19:41
Not really, Walrus has truly understood the pain points of storage. Moving from AWS to on-chain can even speed up, this is what Web3 should be doing.
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OpenGradient directly switched from IPFS to Walrus, what does that indicate? The ecosystem maturity has improved.
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RedStuff erasure coding is indeed powerful; high-frequency read/write without data loss is real strength.
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Feels like Walrus is about to become the standard infrastructure for AI, this pace is a bit fast.
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Tokenized revenue distribution is brilliant; developer incentives finally have a solution.
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If it can truly support 100+ models stably, then the Sui ecosystem is definitely about to take off.
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Stay calm, don’t overthink it, let’s see who will follow up next.
View OriginalReply0
SellLowExpert
· 01-07 19:40
Hmm... Walrus this time definitely has some substance, but I still want to see how big of a splash it can make later on.
Damn, Everlyn directly ran away from AWS, saving so much on costs? Then the money I previously spent unnecessarily was truly wasted.
OpenGradient abandoning IPFS to join Walrus, this attitude shift is a bit sudden, they must have raised quite a bit of funding behind the scenes.
Red Stuff's encoding technology sounds like it really solves pain points, but I don't know how long its stability can last.
Instead of saying the ecosystem is exploding, I'm more interested in when I can make some quick money from it, haha.
The Sui ecosystem has caught the AI wave this time, but whether it's just hype or not remains to be seen, we need to watch the follow-up implementation.
This time it's really not just talk; Everlyn's 16-second video generation data is right there, it's pretty impressive.
I just want to know if Walrus's node economy model can really attract enough participants, otherwise no matter how good the technology is, it’s useless.
As for tokenized revenue sharing, if OpenGradient can really get off the ground, that would be a new path.
Let's wait and see if more top-tier projects follow up later, then consider getting involved.
View OriginalReply0
HappyToBeDumped
· 01-07 19:34
Alright, it's Walrus and Sui again. This combo really has some substance. But to be honest, I'm more concerned about how long this wave of benefits will last. They say that good technology always ends up being cheap for institutions.
Recently, there has been a clear trend in the Web3 storage space—Walrus is frequently appearing in official announcements of top AI projects. Generative AI platform Everlyn, decentralized AI development platform OpenGradient, and federated learning platform FLock.io, these heavyweight players are all positioning Walrus as the core storage layer, which definitely indicates something significant behind the scenes.
Just look at the Everlyn case to understand what's going on. They migrated over 5,000 user videos and a 50GB training dataset from AWS. The most immediate benefit was a significant reduction in storage costs. But more cleverly, by integrating Sui's smart contracts to directly connect payments and storage, the entire workflow became particularly smooth—video generation speed stabilized at around 16 seconds, which is industry-leading.
OpenGradient's choice further illustrates the point. They outright abandoned their original IPFS architecture and used Walrus to host over 100 AI models. The advantage of this approach is leveraging Walrus's programmable features, allowing models to directly implement tokenized revenue sharing, which is a major breakthrough for developer incentives and ecosystem operation.
On the technical level, Walrus's Red Stuff erasure coding technology solves practical pain points in AI development—high data recovery efficiency, and stable operation even in environments with frequent node changes. This perfectly fits high-frequency read/write scenarios like AI training. Coupled with native integration into the Sui ecosystem, there's no need for additional adaptation tools, greatly reducing onboarding costs.
Looking ahead, the integration of AI and Web3 is no longer just a theoretical issue. Walrus has already secured a key position in decentralized AI storage, and more AI projects will actively move closer in the future. The explosive potential of this ecosystem is definitely worth paying attention to.