The Sui Foundation is investing $30 million in DATA Network as the project prepares to move its operations onto the Sui blockchain. The partnership also brings decentralized storage platform Walrus inThe Sui Foundation is investing $30 million in DATA Network as the project prepares to move its operations onto the Sui blockchain. The partnership also brings decentralized storage platform Walrus in
Sui Foundation Puts $30M Into DATA Network to Advance AI Infrastructure
The Sui Foundation is investing $30 million in DATA Network as the project prepares to move its operations onto the Sui blockchain. The partnership also brings decentralized storage platform Walrus into the picture, with a shared goal of making AI training data easier to verify, manage, and license.
1.Sui Foundation Commits $30 Million to DATA Network
The Sui Foundation announced a strategic investment in DATA Network, a project focused on managing data used to train artificial intelligence models. The investment is part of a broader agreement that will bring DATA Network and its Trace registry into the Sui ecosystem. According to the announcement, the project will also use Walrus as its default storage layer for applications operated by DATA Foundation. This arrangement is designed to connect data registration, storage, and licensing within a more integrated infrastructure.
The $30 million investment will also make the Sui Foundation the largest institutional holder in DATA Network, alongside existing stakeholders PIP Labs and DATA Foundation. Rather than simply providing funding, the deal supports a major change in how the network operates. DATA Network will move away from maintaining its own independent blockchain and instead run as a protocol on Sui. The investment therefore combines financial backing with a change in the project’s technical direction, placing its future development within the Sui ecosystem.
2.Why DATA Network Is Moving Its AI Data Operations to Sui
AI developers need access to large amounts of reliable information to train and improve their models. However, collecting data is only one part of the challenge. Developers also need to know where the information came from, whether the original contributors gave permission for its use, and what rights apply to it. These questions are becoming increasingly important as businesses face greater legal and regulatory scrutiny over AI training practices. DATA Network is focusing on this problem by helping record the origins and usage rights of data.
Its Trace registry is central to that approach. Trace records information about data contributions, including their origins and associated rights, while supporting payments to the people who provide the data. DATA Foundation reported that Trace had registered more than 250 million contributions since launching in June 2026 and was processing over three million receipts per day on average. These figures suggest that the project already has an active data-registration system rather than being only an early-stage concept. Moving this system to Sui is intended to support its next stage of development and make the process easier to scale.
3.How Sui and Walrus Will Support the DATA Network
The planned integration brings together two different parts of the data process. Sui will provide the blockchain infrastructure for DATA Network, while Walrus will serve as the default storage layer for applications operated by DATA Foundation. On Sui,datasets and their associated licenses can be represented as programmable onchain objects. This makes it possible to manage permissions and ownership-related information through blockchain-based records rather than relying entirely on separate systems.
Walrus addresses another important requirement: storing large files. AI training datasets can contain substantial amounts of information,making storage and access management essential. Under the new arrangement,Walrus will support the storage of data files,while blockchain records can help verify their registration and associated rights. The integration is also expected to strengthen data provenance,or the ability to establish where information originated and whether it has changed. These features could help AI developers assess whether particular datasets are suitable for their intended use. However,the effectiveness of the system will depend on implementation,security,and how well the records reflect the actual rights attached to each contribution.
4.What Happens Next as DATA Network Joins Sui
The next major step is the technical migration. DATA Network's independent blockchain is scheduled to be retired once the transition is complete,allowing the project to operate natively on Sui. The existing $DATA token is expected to move to Sui on a one-to-one basis,meaning each existing token will correspond to one token on the new network. The foundations have also stated that locked and vesting positions will carry over unchanged,with holder economics and governance rights maintained at least at their existing level. The current network will continue operating until the upgrade is completed.
A detailed transition timeline and plan for token holders will be published before the upgrade,according to the announcement. Until those details are available, users should avoid assuming that the migration is already complete or that every technical detail has been finalized. For DATA Network, the immediate priorities will include completing the transition, maintaining continuity for existing users,and ensuring that applications relying on Trace continue to function. The longer-term goal is to make rights-cleared AI training data easier to register,store,verify,and license as demand for trustworthy datasets grows.
Conclusion
In conclusion, the Sui Foundation’s $30 million investment gives DATA Network financial support and a new path to expand its AI data infrastructure. The move to Sui, combined with Walrus storage, aims to make AI training data easier to verify, store, and license. The project’s long-term success will depend on completing the migration smoothly, attracting developers, and delivering reliable services. As the transition progresses, its ability to meet the growing demand for trustworthy AI training data will be key to its future development.
Disclaimer: This article is for informational purposes only and does not constitute financial or investment advice.Digital asset investments carry high risk.Readers should conduct their own research before making any financial decisions.
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