2026-01-08 19:24:28

AI model training data storage has always been a core bottleneck for Web3 applications. Recently, the Walrus Protocol launched the Encoding V2 solution, which provides the answer—this system is designed for large-scale training data, directly solving the storage efficiency problem.

In terms of actual performance, V2 has indeed made a qualitative leap compared to the previous generation. Storage and read/write efficiency increased by 200%, data compression ratio reached 1:15, a level rarely seen in the industry. In real-world applications, storage costs have decreased by 65%, and retrieval speed has tripled. Three leading AI companies have already chosen to integrate, and billions of training data are gradually migrating to this ecosystem.

Interestingly, the token design of this protocol creates a natural demand cycle. All data storage and retrieval interactions are settled with the ecosystem token, creating real usage demand. From the market performance, large buyers are already positioning related assets, and institutional participation is very active.

The combination of AI and blockchain has always been seen as the next growth engine, and breakthroughs in the data storage layer could accelerate this process. When storage costs and speeds are no longer bottlenecks, the application layer’s imagination space will significantly expand.

WAL2,43%

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BlockchainBard

· 01-11 19:17

Wow, this data compression ratio is really incredible. What does 1:15 mean? A 65% cost reduction, institutions are probably already bottom-fishing. I'm just worried it might be another hype cycle; once the hype passes, there will be no more buzz. The token closed-loop design is indeed clever, but it depends on how long real demand can sustain it. The three leading companies integrating sounds impressive, but which three companies are they? Such crucial information hasn't been disclosed. The part about storage speed being three times faster feels like the real game-changer for the ecosystem.

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zkProofGremlin

· 01-11 16:38

Data compression 1:15? These numbers need to be checked carefully, they seem a bit exaggerated. The truly implemented ones are still those 3 companies; the others are just empty talk. I'm quite optimistic about the token closed-loop design, but I'm worried it might just be another wave of cutting leeks. A 65% reduction in storage costs—if that's really true, it would be a breakthrough, but why haven't I seen any technical details? Institutional deployment belongs to institutions; retail investors should still be cautious.

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DiamondHands

· 01-11 12:48

65% cost reduction, 3x speed, these numbers are quite impressive, but it depends on how it actually gets implemented I think the token closed-loop design isn't that clever; it still depends on whether there is real demand to support it The involvement of leading companies is indeed a signal, but such things can easily turn into hype, so it's important to observe for a period of time AI data storage is indeed a bottleneck, but whether Walrus can truly solve it remains to be seen; don't overhype it Institutional buying is a good thing, but the timing of entry is the key; rushing in now might just be taking over someone else's position For this technology to become popular, it also depends on whether the application ecosystem can keep up; having technology alone isn't enough Cost reduction is a reality; if it can truly operate stably, it's definitely worth paying attention to

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QuietlyStaking

· 01-10 09:07

200% efficiency improvement sounds good, but I wonder how this data is calculated Can storage costs really be reduced by 65%? Seems a bit exaggerated I've seen token closed-loop designs too many times, and they all end up scamming investors Wait, are top AI companies really using this? Or is it just a story in the press release Can this time be different, not just hype and then zeroing out again I've never heard of Walrus, feels like small coins talking big dreams Machine learning data really hits a bottleneck, but what's the reason for choosing this solution Tokens must participate in interactions, isn't this just forcing demand? What’s the use of tripling speed, safety isn't even mentioned Both AI and blockchain, but in the end, isn't it all about the token price

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CryptoDouble-O-Seven

· 01-08 19:49

Wait, a compression ratio of 1:15? That number sounds a bit exaggerated. Is it real... If it were really that awesome, it would have been filled up long ago. Why is it only coming out now? I've heard the token closed-loop system too many times, and in the end, it's just another way to scam retail investors. By the way, are institutions really buying, or are they just telling stories again?

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Rugpull幸存者

· 01-08 19:48

Wait, is the 200% increase and 1:15 compression ratio real? The numbers seem to be exaggerated. This token settlement closed-loop... here we go again, it seems every project claims the same. Three leading companies claiming an ecosystem explosion—why haven't I heard of this before? Be cautious when getting involved early; the lessons from history are quite profound.

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GateUser-e19e9c10

· 01-08 19:37

Whoa, cutting costs by 65% directly? Is this number real or fake? --- Once again, it's the "natural closed loop" in the crypto world, sounds comfortable, but will it become a new routine for bagholders later? --- Is it true? Three leading companies are already promoting it, feels like a lot of hype involved. --- A 200% efficiency increase sounds exaggerated, but if data compression really can reach 1:15, this thing might have some potential. --- Token settlement will inevitably increase usage costs, and the money saved will ultimately be reflected in the token price. --- But on the other hand, data storage is indeed a bottleneck, and having someone solve it is better than no one. --- Institutional bulk buyers? Is this a signal before hype, or is there a real reason to be optimistic? --- If V2's data can actually be implemented, AI training costs could be significantly reduced, worth paying attention to. --- Feels like that old recipe of "technological breakthrough + token incentives," new bottle with old wine. --- Wait, hundreds of millions of data entries are migrating? That scale is indeed a bit outrageous.

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SignatureCollector

· 01-08 19:35

Data storage has finally been solved, with a 65% cost reduction—this number is a bit outrageous. Institutions are all bottom-fishing; we need to see if it can truly be implemented. Wait, is the demand for this token artificially created? A threefold increase in speed is quite tempting, but it's a common topic. If you ask me, it's all about whether there will be real usage later on; too many projects are just hype.

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FrogInTheWell

· 01-08 19:27

Wait, is a 65% cost reduction real? I need to take a close look at this data. --- Is it another institution quietly buying? This trick is all too familiar. --- The token closed-loop design is a bit aggressive, but the real question is whether it can actually be implemented. --- A threefold speed increase sounds unbelievable; I want to see real-world tests. --- Can we trust the data migration? It depends on what happens next. --- If this really works, AI storage sector is definitely about to take off. --- The token design seems a bit strange, feels like they're just looking for reasons to buy tokens. --- A 200% efficiency boost? How likely is it to be just hype? --- What does the involvement of leading companies indicate? We need to observe for half a year before drawing conclusions. --- The essence of the closed-loop design is still about creating demand; we need to be cautious. --- This time, it's more reliable than last time, but let's wait and see.

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PuzzledScholar

· 01-08 19:26

Cost down by 65%? That number sounds a bit unbelievable. Is it true or false? Institutional buyers are getting involved, so should I follow suit? A 200% increase in storage efficiency is impressive, but the token design and this closed-loop gameplay still depend on how it will be implemented later. Three leading companies are involved, which seems like a lot, but I just feel like something is missing. Is this really a breakthrough or just another hype? It depends on who will take the bait.

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