Hyperscalers like AWS are extracting 39% operating margins from the $80 billion AI cloud market,” said Oliver, Co-founder at Gata. “This centralized control not only drives up costs but throttles access—stalling AI’s massive economic potential. Our mission is to make AI universally accessible, starting with an open execution infrastructure.”
That mission begins with cutting out unnecessary middlemen. With Walrus now underpinning Gata’s DataAgent platform, developers and contributors gain access to an economically sound, decentralized stack for AI execution. More importantly, it lays the groundwork for decentralized model training and inference at scale—something that, until now, has been more buzzword than reality.
The Bigger Picture
As decentralized infrastructure players continue carving out niches in storage, compute, and execution, the Gata-Walrus partnership is an early glimpse into what a fully open AI ecosystem might look like. Cost-efficient, composable, and auditable from top to bottom.
DataAgent is already live. But this is just the beginning. With Walrus in its corner, Gata is positioning itself not just as a project, but as a protocol-level player in the fight to democratize AI.
Whether the future of artificial intelligence belongs to a few cloud giants or a global network of contributors might just depend on whether partnerships like this one can scale. If they do, expect the definition of “open-source AI” to get a whole lot more literal.$WAL
