By eliminating download fees and enabling onchain data validation, this partnership brings open-source AI closer to economic viability at scale
Decentralized AI just got a boost where it hurts most—costs. Gata, a company focused on building decentralized large model inference, training, and data pipelines, has partnered with Walrus to eliminate one of the biggest hurdles in the space: prohibitively expensive data access.
The integration centers on DataAgent, Gata’s live decentralized data factory. Built to harness idle browser-based compute for AI dataset generation, DataAgent relies on a swarm of contributors frequently pulling large volumes of data. That kind of distributed access has traditionally racked up significant storage and retrieval fees on both centralized cloud and decentralized networks—turning the promise of community-driven AI into a prohibitively expensive experiment.$WAL
