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Why do institutional-level finance always frown upon blockchain? After all, it boils down to these two words: performance. Whenever technical teams mention "zero-knowledge proofs" and "privacy protection," the typical response from financial institutions is—how resource-intensive could that be?
Dusk's Rushel proof system aims to break this stereotype. Its clear ambition: to truly embed ZK privacy capabilities within an acceptable TPS range for institutions, rather than forcing them to choose between performance and privacy.
The so-called "high-performance variation" fundamentally balances proof generation and verification. Especially for predictable financial transactions—like asset transfers and balance checks—it might not be about developing a one-size-fits-all ZK solution, but rather pre-optimizing circuits tailored specifically for financial operations. Or, using recursive proof techniques to "compress" multiple transaction proofs into a single one, so that on-chain verification only needs to validate this aggregated proof. This directly translates into higher TPS—what used to require processing each transaction individually can now be settled in batches.
The phrase "embedding within TPS boundaries" is also quite deliberate. Rushel's goal isn't to chase theoretical maximum TPS on paper but to find that critical point where institutions feel "good enough"—usable with a decent experience. Microsecond-level demands like high-frequency trading? Certainly not feasible. But for scenarios like bulk trade settlements, asset issuance, clearing, and OTC market settlements—processing dozens to hundreds of private transactions per second with final confirmation within a few seconds—these can open up many practical applications.
The question is: does this kind of financial scenario-specific optimization weaken its versatility? Can it maintain both performance benefits and adaptability? Financial products evolve rapidly—can Rushel keep up? That’s the real test—performance is never a fixed number; it must dynamically balance with business complexity.