In the evolving Web3 landscape, technological promise must translate into real-world utility — and Walrus Protocol’s expanding list of strategic partnerships and integrations showcases how its decentralized data layer is being adopted across diverse use cases. A prime example of this is the emerging collaboration with Myriad Protocol, a decentralized prediction market platform. Under this arrangement, Myriad will leverage Walrus’ storage capabilities to house media and verification data immutably and securely onchain, which is crucial for preserving the integrity of market outcomes, user interactions, and DeFi logic. This architecture ensures that prediction results and associated content are accessible without relying on centralized servers, reducing censorship risk and aligning with Web3’s trust assumptions.
The Myriad partnership not only demonstrates a practical use case — but also highlights Walrus’ role as a data infrastructure hub bridging DeFi and decentralized apps. Prediction markets require persistent storage of events, results, and metadata, necessitating robust, tamper-proof systems; Walrus’ decentralized blob storage offers exactly that, providing a base layer where smart contracts can fetch authenticated data without compromise. Such integration underscores Walrus’ value proposition not just as storage, but as verifiable, trustless data availability for composable Web3 protocols
But adoption isn’t limited to prediction markets. Walrus has been selected by Chainbase, one of the leading omnichain data networks for AI, to host massive datasets spanning over 220 blockchains — including a ~300 TB raw dataset — inside its Manuscript data streaming framework. This partnership transforms how blockchain data is processed for AI and analytics, enabling fully decentralized, permissionless pipelines where data integrity is guaranteed by Walrus’ encoding and proof systems. Developers across DeFi, AI, and broader Web3 applications gain access to verified blockchain data without the typical costs and centralization risks associated with traditional cloud services.
Walrus’ real-world adoption extends further. For example, Yotta Labs has designated Walrus as its core data layer for decentralized AI storage and workflow management, alleviating cost and centralization burdens of large AI datasets — a key concern as models and outputs balloon in size. Meanwhile, Humanity Protocol has migrated millions of user credentials to Walrus’ network, using it as a foundation for verifiable identity and credential storage in the Sui ecosystem. These integrations illustrate how Walrus’ storage layer is not only technically robust but flexible enough to fit identity systems, AI pipelines, analytics engines, and more.
Taken together, Walrus is evolving into more than a storage stack — it’s becoming the decentralized data substrate for Web3’s next wave of innovation, from financial markets to AI to identity networks. Its integrations solidify a future where decentralized applications don’t just run on decentralized compute — they also store, verify, and interact with their data in truly trustless environments.
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