The problem is in front of us: why do public chain projects always focus on TPS? Actually, this approach is fundamentally wrong. The real factor that determines victory or defeat is not how many times faster the chain is, but who can solve the deadly issue of data accumulation.
Solana was once fast and powerful, but bottlenecks gradually surfaced. On-chain data kept expanding—NFT metadata, transaction history, contract states—all piled together, requiring several TB of disk space for node synchronization. The operational costs of nodes soared, the participation threshold increased, and the network tended toward centralization—this is the curse of state explosion.
Sui's approach is completely different. It performs a major overhaul: dividing responsibilities. The main chain handles computation and consensus, like a lightweight racing car, as fast and lean as possible. What about large files? Images, videos, application front-end interfaces—all are handed over to Walrus, a specialized storage layer.
This is not just a simple "on-chain cloud storage" concept but an architectural innovation. Walrus decouples data permanence and availability from the settlement layer, using independent encoding and verification mechanisms to ensure security. The result is that Sui can maintain high efficiency continuously, significantly improving user experience and reducing node burden.
From another perspective, public chains without this separation scheme are bound to repeat Solana's current predicament in three to five years—bulky, slow, and costly. But with this design, Sui might truly break out of this cycle.
GameFi and social applications are especially sensitive to this. Game assets, user-generated content, and historical interaction data are enormous. If all are stored on the main chain, the experience immediately collapses. Using layered storage greatly alleviates performance pressure, giving developers more room for imagination.
Whether you believe in a particular project or not, the technological direction is already clear: the next generation of public chains will compete in data governance. Those who can handle this problem more elegantly will survive longer.
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LiquiditySurfer
· 01-10 17:22
Solana is in this state now; frankly, it was greed back then, piling everything on the chain. Sui's layered storage approach is indeed interesting, but whether Walrus can truly support it remains to be seen.
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ShitcoinConnoisseur
· 01-08 04:50
Sol is indeed a bit bloated now, gotta admit.
Quick side question, is Walrus reliable? Feels like a new concept again.
Layered storage sounds good, but the key is who can truly implement it.
Wait, isn't this just a centralized solution with a different appearance?
If Sui can really solve this problem, then it’s definitely interesting.
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SerumSqueezer
· 01-08 04:44
Solana is really 💔 now. The issue of state bloat should have been taken seriously long ago, but it’s becoming more and more annoying instead.
Sui’s recent moves are good, but whether Walrus can truly hold up depends on its future performance.
Public chains without data governance solutions really have no future.
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TrustlessMaximalist
· 01-08 04:44
Really, those who keep hyping up TPS numbers are just shooting themselves in the foot. Solana is now a living example of a cautionary tale; with node costs skyrocketing, who can handle it?
Layered storage is indeed a brilliant approach; Sui and Walrus's ideas are much smarter than simply stacking speed.
In three to five years, this is likely to be the pattern; public chains that don't do a good job with data governance really have no future.
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RugDocDetective
· 01-08 04:43
Forget it, I'm already tired of the TPS talk. The key is who truly solves the node cost issue.
The lessons from Solana are right here. Public chains that are still expanding data should really reflect on themselves.
Sui's layered approach does have some merit, but whether Walrus can truly operate stably remains to be seen, and let's not get another PPT plan.
Data governance is indeed a long-term game-changer, but currently, nine out of ten projects that boast about it won't last two years. Let's wait and see.
The problem is in front of us: why do public chain projects always focus on TPS? Actually, this approach is fundamentally wrong. The real factor that determines victory or defeat is not how many times faster the chain is, but who can solve the deadly issue of data accumulation.
Solana was once fast and powerful, but bottlenecks gradually surfaced. On-chain data kept expanding—NFT metadata, transaction history, contract states—all piled together, requiring several TB of disk space for node synchronization. The operational costs of nodes soared, the participation threshold increased, and the network tended toward centralization—this is the curse of state explosion.
Sui's approach is completely different. It performs a major overhaul: dividing responsibilities. The main chain handles computation and consensus, like a lightweight racing car, as fast and lean as possible. What about large files? Images, videos, application front-end interfaces—all are handed over to Walrus, a specialized storage layer.
This is not just a simple "on-chain cloud storage" concept but an architectural innovation. Walrus decouples data permanence and availability from the settlement layer, using independent encoding and verification mechanisms to ensure security. The result is that Sui can maintain high efficiency continuously, significantly improving user experience and reducing node burden.
From another perspective, public chains without this separation scheme are bound to repeat Solana's current predicament in three to five years—bulky, slow, and costly. But with this design, Sui might truly break out of this cycle.
GameFi and social applications are especially sensitive to this. Game assets, user-generated content, and historical interaction data are enormous. If all are stored on the main chain, the experience immediately collapses. Using layered storage greatly alleviates performance pressure, giving developers more room for imagination.
Whether you believe in a particular project or not, the technological direction is already clear: the next generation of public chains will compete in data governance. Those who can handle this problem more elegantly will survive longer.