Maybe the real constraint in AI isn’t intelligence — it’s infrastructure. For months, the focus has been on better models and smarter agents. But underneath that progress sits a quieter problem: how do you coordinate, pay, and scale AI systems without crushing them under cost and fragmentation?

That’s why Vanar’s cross-chain expansion to Base matters.

On the surface, it looks like another deployment. Underneath, it’s about execution density. AI agents don’t transact occasionally — they operate constantly. Every inference call, data validation, or micro-payment requires cheap, predictable blockspace. Base provides that low-cost environment, backed by distribution rails connected to Coinbase. That combination lowers friction for both users and autonomous systems.

Meanwhile, Vanar Chain maintains its AI-native primitives — identity, authenticated data, creator-focused tokenization — while leveraging Base for high-frequency execution. It’s layered architecture: anchor value securely, execute efficiently elsewhere.

The bigger pattern is clear. No single chain can optimize settlement, liquidity, and AI workload simultaneously. Cross-chain design isn’t fragmentation — it’s specialization.

If this holds, scaling AI won’t be about one dominant network. It will be about coordinated layers working together. And Vanar’s move to Base signals it understands that infrastructure, not hype, is the foundation AI needs. @Vanarchain $VANRY #vanar