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DATA Network integrates with Sui and Walrus to build an AI training data supply chain

2026-10-12 12:20:18
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DATA Network has established a cooperation with Sui and Walrus to build an artificial intelligence training data supply chain.

This cooperation will connect the data-focused DATA Network project with the Sui blockchain and Walrus storage network, aiming to support the traceability and verification of artificial intelligence training materials. DATA Network announced a partnership with Sui and Walrus to expand the size of what it calls its artificial intelligence training data supply chain. The move puts the project at the intersection of two fast-growing areas: blockchain infrastructure and artificial intelligence development.

Sui and Walrus 'technical positioning

Sui is a Layer-1 blockchain specifically designed for high-throughput and low-latency transactions. It positions itself as an infrastructure for applications that require fast billing and scalable data processing. Walrus is a decentralized storage protocol built on top of Sui and designed to process large files (commonly called blobs) in a verifiable and tamper-resistant manner.

Solving bottlenecks in the development of artificial intelligence

By joining this ecosystem, DATA Network aims to solve persistent bottlenecks in the development of artificial intelligence. Training large language models and other artificial intelligence systems requires massive amounts of data. This data must be source collected, cleaned, labeled and verified before it is used for training. Centralized data pipelines have been criticized for lack of transparency, difficulty in traceability and difficulty in identifying data sources.

A blockchain-based storage and coordination layer provides an alternative. They can create auditable records that flow from the data source to the training set. Walrus, as a storage layer, allows large-scale data sets to be stored in a decentralized manner rather than relying entirely on centralized cloud service providers. Sui's transaction infrastructure supports the coordination, payment and verification steps required by the data supply chain.

Industry Trends and Collaboration Details

This collaboration reflects a broader trend of blockchain projects seeking use cases related to the artificial intelligence boom. As the demand for artificial intelligence training data increases, systems that can prove the integrity of data and track its life cycle are receiving increasing attention. Projects that combine decentralized storage with verifiable computing believe they have advantages over purely centralized alternatives in terms of transparency and auditability.

The currently disclosed reports do not detail the specific technical mechanisms DATA Network will use in the Sui and Walrus ecosystems. The parties also did not provide specific figures on the amount of data, timeline or financial terms related to the integration. The announcement focuses mainly on structural cooperation between the three parties rather than quantitative results.

Market Impact and Future Outlook

对于 Sui 生态系统而言,引入一个专注于数据的项目可能会加强其作为人工智能关联应用程序基础设施的定位,这一叙事已在更广泛的加密货币市场中吸引了更多关注。如果针对可验证人工智能训练数据集的需求随着整个 AI 行业数据需求的增长而增加,Walrus 将从其存储层扩展的用例中受益。

更广泛的影响在于区块链基础设施与人工智能开发的交叉点。如果去中心化存储和协调层被证明能有效管理训练数据供应链,其他专注于人工智能的项目可能会寻求类似的区块链整合。然而,由于现有报道未包含采用率、数据吞吐量或市场反应的指标,因此这种影响的实际规模仍有待观察。

尽管这是区块链项目与人工智能基础设施需求对齐的又一步骤,但其更广泛的意义仍取决于规模和执行方面的进一步细节。

常见问题解答

什么是 DATA Network?

根据有关此次整合的报道,DATA Network 是一个专注于构建人工智能训练数据供应链基础设施的项目。

Sui 和 Walrus 在此次合作中扮演什么角色?

Sui 是提供交易和协调基础设施的 Layer-1 区块链,而 Walrus 是建立在 Sui 之上的去中心化存储协议,旨在处理大型数据文件。

Why does artificial intelligence training data need a blockchain-based supply chain?

Artificial intelligence models require large amounts of data collected and verified by sources, and blockchain infrastructure can provide an auditable record of the data collection and distribution process.

Are financial or technical details of the integration disclosed?

Existing reports do not include specific numbers, timetables or financial terms related to the collaboration between DATA Network, Sui and Walrus.

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