𝘼𝙄 𝙞𝙨 𝙜𝙚𝙩𝙩𝙞𝙣𝙜 𝙨𝙢𝙖𝙧𝙩𝙚𝙧, 𝙗𝙪𝙩 𝙬𝙝𝙖𝙩 𝙖𝙗𝙤𝙪𝙩 𝙩𝙝𝙚 𝙙𝙖𝙩𝙖 𝙞𝙩 𝙡𝙚𝙖𝙧𝙣𝙨 𝙛𝙧𝙤𝙢? 𝘾𝙖𝙣 𝙬𝙚 𝙫𝙚𝙧𝙞𝙛𝙮 𝙬𝙝𝙚𝙧𝙚 𝙞𝙩 𝙘𝙤𝙢𝙚𝙨 𝙛𝙧𝙤𝙢 𝙖𝙣𝙙 𝙬𝙝𝙚𝙩𝙝𝙚𝙧 𝙞𝙩 𝙝𝙖𝙨 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩𝙨 𝙩𝙤 𝙗𝙚 𝙪𝙨𝙚𝙙? That’s a challenge the next generation of AI infrastructure needs to solve. And now, a major development is bringing that vision closer. @datafdn is bringing the DATA Network and Trace to @SuiNetwork, combining verifiable data provenance, rights-cleared AI training data, and decentralized storage. Here’s why this matters. 1. Making AI training data more transparent AI models depend on vast amounts of training data. But beyond quantity, developers need better ways to establish where that data originated and whether it has been cleared for use. The DATA Network aims to make rights-cleared data available with verifiable provenance, helping AI labs make more informed decisions about their training data. 2. Trace has already recorded 250M+ receipts Trace provides a foundation for documenting data provenance through recorded receipts. With over 250 million receipts already recorded, the network has established a significant base for verifiable data records. 3. Walrus brings the storage layer @WalrusProtocol will become the default storage layer for DATA Foundation applications. Together, these components support an ecosystem built around data provenance, storage, and access to training data. 4. Sui Foundation commits $30 million Sui Foundation is investing $30 million in the DATA Network, establishing its largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. There’s also a strategic leadership development: SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor. This goes beyond a technical integration. It establishes a deeper strategic alignment between the two ecosystems. 5. What happens next? Over the coming months: → The DATA Network will be upgraded to run natively as a protocol on Sui. → Walrus will become the default storage layer for DATA Foundation apps. → $DATA will remain the token of the DATA protocol. Why this move matters The future of AI requires more than powerful models and computing resources. It also needs accessible data, clear usage rights, and ways to verify provenance. By bringing DATA’s network and Trace onto Sui, with Walrus providing storage infrastructure, the ecosystem is taking another step toward making AI training data more transparent and verifiable. The bigger vision is simple: AI data should come with provenance, not just promises. The next chapter of DATA starts here. @datafdn x @SuiNetwork #DATAonSuiQuest