Walrus this project’s approach to AI infrastructure is indeed interesting, not the usual rhetoric of "decentralized AI," but addressing real pain points in data flow.

Looking at their collaboration details with Talus Network in 2025, it mainly provides verifiable state storage for AI agents—simply put, making the model states during training tamper-proof and efficiently accessible. Coupled with the Swarm toolkit, it anonymizes AI memory and learning data. When combined with Baselight’s Blob query capabilities, originally scattered datasets become searchable and tradable assets.

The most imaginative part here is on the cost side. Training high-value models with traditional cloud services easily risks leaks, but Walrus uses erasure coding sharding to reduce storage costs by 70%, and it comes with cryptographic protection without needing additional security layers.

More importantly, it redefines the business model—data markets are no longer just buying and selling, but can use smart contract programming to grant permissions, allowing genuine data contributors to earn dividends. When Sui’s stablecoin free transfer policy is implemented in 2026, the ecosystem’s AI applications will experience a burst, and Walrus will become the foundational infrastructure support for these applications.

If you're interested, the community’s technical documentation and AMA discussions are worth checking out to learn more about practical cases.