zkSync Launches Mass-Usable STARK-Based System with Higher TPS Rate

• zkSync Era has launched a new Scalable Transparent Argument of Knowledge (STARK)-based proof system called Boojum.
• This proof system runs on consumer-grade general processing units (GPUs) with only 16 gigabytes of RAM.
• It promises better throughput than the current 100 TPS rate, reduces costs in the long term and provides more transparency than zk-SNARKS based systems.

zkSync Launches New STARK-Based Proof System

Ethereum layer-2 scaling solution zkSync Era has launched a new Scalable Transparent Argument of Knowledge (STARK)-based proof system called Boojum that promises to run on consumer-grade general processing units (GPUs). This upgrade allows for Boojum provers to be run on everyday personal computers instead of powerful hardware and servers, as it requires only 16GB of GPU RAM.

Benefits Of The System

The new proof system promises better throughput than the current 100 TPS rate and reduces costs in the long term. In addition, it provides more transparency than zk-SNARKS based systems. Furthermore, it wraps STARK proofs with non-transparent pairing-based SNARK which requires less storage and is cheaper to verify, thus driving down the cost of transactions themselves.

Live On Mainnet For Testing

Boojum is currently live on the zkSync Era mainnet for testing, generating and verifying “shadow proofs” with real production data before complete migration and larger use. The new system will be upgraded without any regenesis.

Usage Of Cryptographic Library

The cryptographic library used for this implementation is Rust-based from zkSync that implements an upgraded version of arithmetic circuits for zkSync Era and its ZK developer stack. This library enables efficient computations at large scale while ensuring security against malicious actors in the network activity.

Conclusion

In conclusion, Boojum offers improved performance over existing Ethereum scaling solutions while also providing increased security through its cryptographic library implementation. By running on consumer grade GPUs rather than expensive hardware or servers, it also ensures regular users can participate in network activities at a lower cost