Public chain track has fallen into a particularly bizarre cycle of internal competition: to increase TPS, node hardware requirements must keep soaring, with some top high-performance chains even needing data center-level servers to operate normally. But this is actually a dead end. No matter how powerful the servers are, they can't change one fact— as long as the old model of "every node in the network redundantly computes the same transaction" persists, network congestion is inevitable.

Recently, I’ve noticed some emerging public chain architecture designs, and the most brilliant aspect is that they completely abandon this cumbersome full-network computation framework. Instead, they adopt an "edge computing" strategy, pushing computation tasks directly to the user's local device—your phone, browser, each independently completing the task.

On the surface, this seems to increase the user's burden, but in reality, it’s an extremely clever form of "decentralized computing power." When you execute complex smart contracts or private transfers, the entire process of generating ZK proofs is completed on your device. On-chain verification nodes don’t need to know the details of your computations; they only do one thing: receive the proof and verify its authenticity at the lowest cost.

This "proof-only, no redundant computation" design directly transforms the blockchain from a "clunky supercomputer" into an "efficient banknote verifier." Throughput pressure is suddenly alleviated. Data sovereignty is truly returned to the users. This may be another approach to breaking the performance bottleneck of public chains.