AI Training Data Scaling: Sui, Walrus, and DATA Network Join Forces
Key Summary
The DATA Network and its onchain registry Trace are joining forces with Sui and Walrus to scale AI training data, providing a live supply of rights-cleared data for the next generation of AI models. The integration aims to strengthen provenance guarantees and tamper evidence, enabling the use of real-world data with consent and provenance accepted by regulators. The partnership brings together a flagship supply of rights-cleared data, verifiable compute, and native storage, making it a key player in the AI landscape.
Integration Overview
The DATA Network and its onchain registry Trace are joining forces with Sui and Walrus to scale AI training data. The integration aims to strengthen provenance guarantees and tamper evidence, enabling the use of real-world data with consent and provenance accepted by regulators. The partnership brings together a flagship supply of rights-cleared data, verifiable compute, and native storage.
Key Benefits
The integration offers several key benefits, including stronger provenance guarantees and tamper evidence. The use of real-world data with consent and provenance accepted by regulators will enable the development of more accurate and reliable AI models. The partnership also brings together a flagship supply of rights-cleared data, verifiable compute, and native storage, making it a key player in the AI landscape.
Sui and Walrus Background
Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files, storing massive AI datasets efficiently and ensuring data is only readable by licensed buyers.
Partnership Details
The DATA Network and its onchain registry Trace are joining forces with Sui and Walrus to scale AI training data. The integration aims to strengthen provenance guarantees and tamper evidence, enabling the use of real-world data with consent and provenance accepted by regulators. The partnership brings together a flagship supply of rights-cleared data, verifiable compute, and native storage. The DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. Walrus becomes the default storage layer for DATA Foundation applications.
Investment and Governance
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network. The partnership also brings together a long-term strategic investment, furthering the alignment between Sui Foundation and the DATA Foundation. SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
Conclusion
The integration of the DATA Network and its onchain registry Trace with Sui and Walrus marks a significant milestone in the scaling of AI training data. The partnership brings together a flagship supply of rights-cleared data, verifiable compute, and native storage, making it a key player in the AI landscape. The use of real-world data with consent and provenance accepted by regulators will enable the development of more accurate and reliable AI models.
Image Prompt
Editorial photojournalism shot of a computer screen displaying a vast, encrypted AI dataset, with a subtle background of code and circuit boards, conveying the cutting-edge technology and data security at play in the integration of Sui, Walrus, and DATA Network.