Whenever I talk about WAL's ecological cooperation, I feel that the synergistic effect backed by the Sui ecosystem is crucial!

When discussing the development of WAL, we cannot avoid its ecological cooperation layout. I believe that WAL can develop rapidly, and the synergistic effect backed by the Sui ecosystem plays a vital role. Moreover, the project's cooperation choices are very targeted, not blindly expanding, but precisely connecting with actual needs. Firstly, Walrus is created by Sui's development team Mysten Labs, which is inherently deeply bound to the Sui ecosystem and can directly reuse Sui's consensus mechanism, development infrastructure, and developer resources. This makes the ecological cold start of WAL much easier than other projects.

Currently, WAL has reached cooperation with well-known institutions such as Tusky, Decrypt Media, and Chainbase. The integration of these institutions not only brings more storage needs to WAL but also introduces professional technology and resource support to the ecosystem. I think what has more potential is that WAL has started collaborating with AI and gaming projects. The training of large models in the AI field requires massive data set storage, while gaming projects require management of a large number of media files and user data. WAL's low storage costs and high availability can precisely meet these needs, which is also the core application scenario of decentralized storage.

In addition, WAL is also collaborating with other projects within the Sui ecosystem to achieve resource interconnectivity, such as combining with some DeFi projects to provide secure storage for on-chain asset data, and cooperating with NFT projects to ensure that NFT metadata is not tampered with.

My opinion is that WAL's cooperation layout captures the essence of 'complementary win-win'. While relying on the Sui ecosystem, it can also leverage its own technological advantages to solve pain points for other projects. This cooperation model continuously enhances the value of the ecosystem and expands WAL's application scenarios.

@Walrus 🦭/acc

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