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Many people say: ZK is too expensive and not suitable for large-scale implementation at all. Succinct's approach is changing this perception.
ZK costs are high, this statement is both true and false.
True, because traditional ZK systems indeed have three major problems:
1️⃣ Concentration of computing resources, slow and expensive proof generation
2️⃣ High development threshold and significant maintenance costs
3️⃣ Lack of a unified incentive mechanism, making it difficult for nodes to operate continuously
But Succinct offers another model:
It does not require developers to 'build circuits to run proofs' themselves, but instead outsources the entire process to infrastructure through a complete computing network:
🧠 Developers write logic using zkVM → Compile → Initiate call
🖥 The network automatically schedules GPU node computation and generates proofs
🪙 Users pay for services using $PROVE , and nodes receive incentives
In this process, each step has a clear economic closed loop, rather than relying on 'who runs the prover to act on their conscience'.
More importantly, Succinct does not limit the use cases—
Whether it’s off-chain AI inference verification, Rollup state confirmation, DePIN data validation, or Bridge proof calls, it can be seamlessly integrated.
ZK is not necessarily expensive, but the premise is that you have to use the right method.
Which types of applications do you think will need low-cost ZK capabilities in the future?
Feel free to leave a comment to discuss together👇
@Succinct
#SuccinctLabs $PROVE