AI on-chain needs reliable data not broken links
Everyone talks about on-chain AI, but few talk about the data problem. Models, datasets, and outputs are massive, and blockchains alone can’t handle them. Walrus solves this by enabling secure, verifiable storage of large files that applications can depend on. Developers can prove that data is available, unchanged, and accessible when needed. That’s foundational for AI agents, training pipelines, and inference systems running in Web3 environments. Without this layer, on-chain AI remains mostly theoretical. Walrus turns it into something practical, reliable, and scalable which is exactly why it’s so important.
