Since Mainnet launch, Walrus has quietly become a new standard for data. Powering AI, entertainment, RWA, gaming, and the decentralized web’s backbone. Walrus went from protocol launch → powering the next wave of apps. Let’s dive in 👇

So let’s talk about how Walrus is actually being used across: → AI → Entertainment & media → Real-world assets → Web3 infra → Gaming & NFTs

AI: A new compute + storage stack @ionet integrated Walrus to support decentralized storage for AI/ML workloads, complementing their distributed compute layer. AI compute is nothing without fast, durable, permissionless data access. That’s Walrus.

@OpenGradient is building its own L1 storage layer on top of Walrus. Why? So they can host model checkpoints, proofs, and training data fully onchain - not just AI in theory, but AI that’s transparent and auditable.

@Claynosaurz, the animation-native Web3 brand, joined – using Walrus to store cinematic content and gaming assets. For brands creating immersive digital IPs, decentralization is now part of the pipeline.