Big move for Web3 infra. Walrus feels like one of those “boring but foundational” breakthroughs—scalable, verifiable storage that actually works for AI + cross-chain apps. If ACDS
Emily Adamz
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Walrus Protocol is shaking up Web3 infrastructure with its asynchronous complete data storage system—ACDS for short. It’s built on Sui and designed to handle giant blobs of data, like AI training sets or endless business logs, without getting bogged down by too much data copying or single points of failure.
Here’s their trick: Walrus splits up the control and storage layers. The blockchain handles coordination, incentives, and keeps everyone honest, while the storage layer just scales up as much as you need. They use erasure coding to break data into little pieces—slivers, really—and scatter them across lots of independent nodes. Even if two-thirds of those nodes go offline, you can still rebuild your data. And you only pay about four to five times the storage cost, which is pretty efficient for this level of fault tolerance.
What do you get out of this? Storage you can actually trust. Everything stays verifiable and tamper-proof, which is a big deal when you’re feeding data to AI models or building autonomous agents that can’t afford to get the wrong info. Walrus has been live on mainnet since March 27, 2025. It scales horizontally with up to a thousand shards and uses longer epochs, so node operators know what to expect.
On the practical side, Wal.app lets developers launch fully decentralized websites—think dApps on Sui, Ethereum, or Solana—right in your browser, no crypto wallet required. Projects like Flatland and Snowreads show that you can get fast, global hosting without breaking the bank.
Backing it all up, Walrus has pulled in $140 million and landed partners like Talus and Itheum. They’re building data markets for the AI age, connecting different blockchains and giving developers programmable storage. So yeah, Web3’s data backbone just got a serious upgrade—scalable, secure, and actually friendly for builders.$WAL @Walrus 🦭/acc #Walrus
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