After researching a lot of related materials, I suddenly thought of a question. Walrus's sharding technology is indeed impressive, capable of fully restoring the original file even with 40% data corruption, which is no problem. But what about the pile of repetitive, fragmented data if an AI chatbot uses Walrus to store long-term conversation memories?
Can the Sui chain's architecture really withstand such an impact? I'm a bit worried it might repeat the same mistakes as Ethereum—flooding the entire chain with data, causing verification efficiency to plummet dramatically, and ultimately nobody uses it.
Becoming a long-term memory layer for AI is indeed a high threshold. It must meet two conditions simultaneously: first, it can prove it has fast, large-scale storage capability; second, even with a surge in data volume, it won't increase storage costs. Only when these two points are achieved will those AI giants seriously consider integrating. This is still an unverified question.
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HashRateHermit
· 01-10 19:55
Hmm... Walrus indeed solves the redundancy problem, but the guy's point about the accumulation of duplicate data is really a sore spot.
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ShibaMillionairen't
· 01-10 19:54
That's not right. Even if you can recover 40% of the corrupted data, you still have to withstand the impact of massive amounts of junk data. Worrying that Sui will follow in Ethereum's footsteps is a very realistic concern.
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PumpDoctrine
· 01-10 19:53
Walrus sounds impressive, but when it comes to truly implementing AI memory layers, it's still a long way off. I'm just worried it will end up being just a technical show-off and actually underperform.
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MEVEye
· 01-10 19:51
To be honest, Walrus's disaster recovery capability is indeed top-notch, but data stacking... is really a pitfall.
If Sui can truly handle that kind of AI data flood, that would be a real revolution. Otherwise, it's just the old pattern of high opening and low closing, a pity.
The core issue is still cost. Scaling up without increasing costs is the key, but right now it's still unclear.
Walrus is very attractive, but whether it can become the AI's "hard drive" depends on whether it can survive the burst period.
Efficiency and cost are always the two biggest hurdles in storage; whoever solves them wins.
Basically, it's just waiting for validation. No matter how good the hype, the data will reveal the truth once it arrives.
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BlockchainWorker
· 01-10 19:51
This perspective is interesting, but I still think Sui's capacity is overestimated... The ETH bottleneck is right in front of us.
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Walrus sharding technology is indeed impressive, but once large-scale AI data is truly on-chain, storage costs will definitely become a bottleneck.
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Basically, we haven't really tested production-level data volumes yet; current discussions are too optimistic.
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For duplicate fragment data, there really isn't a good solution... packing and compression are already tough enough.
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Instead of obsessing over Walrus, it's better to see if Sui's validation nodes can really handle several TBs of data... that's the real metric.
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Long-term AI memory on-chain? Sounds great, but cost issues will always be a hurdle, brother.
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The scalability problem of blockchains has been discussed for so many years, but it still hasn't been fundamentally solved... No matter how powerful Walrus is, it has to face this reality.
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ForeverBuyingDips
· 01-10 19:50
Ha, it's another story of lofty ideals and harsh realities. Walrus sharding technology is indeed impressive, but really supporting an AI data monster? I think that's a bit doubtful.
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Instead of worrying whether Sui can hold up, it's more important to see if costs can be reduced—that's the key.
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Honestly, right now it's just using theoretical frameworks to fool people. The real test is whether data explosion can be genuinely measured.
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In my opinion, the final outcome of this setup will either be being overshadowed by AI giants' private clouds or remaining forever in the experimental stage.
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Wow, another "solution," another "to be verified." The industry’s to-be-verified items might just fill the entire Ethereum.
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I'm a bit curious about how the Sui team is calculating this themselves. If they can truly withstand pressure, that’s the real value. At this stage, any talk is premature.
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I overthought things earlier and overlooked the simplest problem—no matter how good the technology is, if it’s not affordable, users are the ones who suffer.
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ParallelChainMaxi
· 01-10 19:47
To be honest, I think the concern is unnecessary. Sui's architecture is designed for high concurrency, unlike Ethereum's single-chain model. The real issue isn't whether it can store data, but whether AI projects will actually go on the blockchain.
After researching a lot of related materials, I suddenly thought of a question. Walrus's sharding technology is indeed impressive, capable of fully restoring the original file even with 40% data corruption, which is no problem. But what about the pile of repetitive, fragmented data if an AI chatbot uses Walrus to store long-term conversation memories?
Can the Sui chain's architecture really withstand such an impact? I'm a bit worried it might repeat the same mistakes as Ethereum—flooding the entire chain with data, causing verification efficiency to plummet dramatically, and ultimately nobody uses it.
Becoming a long-term memory layer for AI is indeed a high threshold. It must meet two conditions simultaneously: first, it can prove it has fast, large-scale storage capability; second, even with a surge in data volume, it won't increase storage costs. Only when these two points are achieved will those AI giants seriously consider integrating. This is still an unverified question.