Walrus Announces Collaboration with Gata to Help Build Open AI Execution Infrastructure

On July 23, Walrus Protocol, a blockchain storage protocol built on Sui, announced a partnership with Gata, which is dedicated to developing decentralized large model inference, training, and data technology, to become a core component of Gata AI's open execution infrastructure. With Walrus, Gata will solve the high data access costs that have long plagued decentralized AI. This integration directly empowers Gata's DataAgent, allowing anyone to contribute idle computing power with one click through a browser, collaboratively generating synthetic datasets needed for AI training. Walrus provides performance comparable to centralized cloud services and low-cost storage, and more importantly, eliminates download fees, allowing the Gata community to conduct large-scale data interaction in a permissionless manner without incurring unpredictable and unsustainable costs. In the future, Gata plans to leverage Walrus's unique on-chain data programmability to build an open, auditable pricing model. By storing verifiable computation proofs on Walrus, Gata can use Move-based smart contracts to transparently verify computation tasks and settle on-chain, creating a fairer pricing mechanism for service providers, which is a major improvement over the opaque models used by current centralized AI providers. It is reported that Walrus is a new generation storage protocol built for AI Agents, on-chain applications, and enterprises that process large-scale unstructured data. Whether it's images, videos, audio files, or dynamic metadata, Walrus can store them efficiently, securely, and economically through its distributed node network. [深潮 TechFlow]