Technical Architecture of PROVE: How is it Optimized?

Technical architecture of PROVE: How is it optimized?

PROVE is one of the major advancements in Zero-Knowledge Proof (ZKP) technology, focusing on reducing costs and speeding up proof generation. So how is the technical architecture of PROVE optimized?

1. Layered proof processing

PROVE divides the proof process into multiple layers:

Frontend: where the circuit and input data are defined.

Compiler: transforms complex circuits into standardized format, helping to alleviate the computation step.

Prover Engine: optimizes proof generation with fast algorithms and low resource consumption.

This tiering allows PROVE to parallelize the steps, maximizing CPU/GPU resources.

2. 'Succinct Proofs' Mechanism

Unlike older systems like Groth16 or Plonk, PROVE generates compact and easily verifiable proofs. The size of the proof is only a small fraction of the original data, yet it still ensures integrity and security. This helps reduce computational costs by 30% when deployed on the blockchain.

3. Integration with Layer 2 and DApp

$PROVE designed to operate smoothly on Layer 2, especially in Rollups. DApps can directly call the Prover Engine without complex infrastructure. This both speeds up the process and reduces deployment costs.

👉 Thanks to the tiered architecture, concise proof mechanism, and flexible integration capabilities, Succinct PROVE is revolutionizing how ZKP is applied in Web3, bringing DApps closer to global adoption.
@Succinct #Succinct #prove