Storage costs have always been a pain point for NFT projects. The Walrus protocol reduces storage expenses by 90% through a distributed storage architecture, which is truly cost-effective for large-scale NFT applications. But that's not all—the protocol also supports the training needs of AI models at the hundreds of billions of parameters level and enables medical data sharing while ensuring privacy. This multi-scenario adaptability is indeed rare. The demand for $WAL tokens continues to grow, and the market is beginning to focus on projects that can truly deliver results, rather than just storytelling.

WAL-4.58%
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MeaninglessGweivip
· 01-06 21:52
90% cost reduction? Sounds like a ceiling promise, but whether it actually works depends on user feedback. Wait, AI model training + medical data? This agreement is a bit ambitious. Can it really get off the ground? Finally, there's a project that doesn't just talk big but directly implements features. That's the kind of project I want to invest in. Should I get on board with $WAL this time? Feels a bit overhyped, let's wait and see. Lowering costs alone isn't enough; the key is that security performance can't be subpar.
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GasGrillMastervip
· 01-06 21:48
Cutting 90% of the costs—what kind of black technology is this... But AI + medical data is really making me a bit tempted.
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BearWhisperGodvip
· 01-06 21:44
A 90% cost reduction sounds great, but can it really be implemented? Or is it just another hype project?
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MemeCuratorvip
· 01-06 21:41
A 90% cost reduction sounds very attractive, but how many projects can actually be implemented? First, let's see if anyone is really running them.
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HodlKumamonvip
· 01-06 21:35
Cut 90% of the costs? That doesn't seem right. These numbers are a bit too ideal... We need to look at actual application data to be accurate.
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metaverse_hermitvip
· 01-06 21:34
A 90% cost reduction? Sounds great, but actually getting it online and running is another story.
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