Brevis’ Pico Prism: Real-time ETH Block Proving on GPUs
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Brevis has achieved a significant milestone with its Pico Prism technology, demonstrating the real-time proving of 99.6% of Ethereum blocks using readily available consumer GPUs. This breakthrough represents a critical step towards dramatically enhancing the scalability and accessibility of the Ethereum network.
The core of this innovation lies in Pico Prism's ability to generate zero-knowledge (ZK) proofs for Ethereum blocks with unprecedented speed and efficiency. By leveraging consumer-grade graphics processing units, Brevis makes high-performance block validation accessible without requiring specialized, expensive hardware. This not only democratizes participation in the network's security but also addresses the ‘Verifier's Dilemma,' where verifying all transactions on a blockchain can be computationally intensive, limiting decentralization and scalability.
A key benefit of this real-time proving capability is its potential to enable massive transaction throughput, with projections suggesting the possibility of achieving 10,000 transactions per second (TPS) directly on the Ethereum Layer 1. Such an increase in TPS would significantly reduce transaction costs and latency, making the network more efficient and user-friendly for a wide range of decentralized applications and services. Furthermore, the low hardware requirements open the door for phone-based blockchain validation, allowing ordinary smartphone users to contribute to network security and decentralization, fostering a more robust and distributed ecosystem.
The target audience for this technology includes the broader Ethereum community, Layer 2 scaling solutions, dApp developers, and individual users interested in participating in network validation with minimal barriers. By providing a scalable, secure, and accessible method for proving Ethereum blocks, Pico Prism is poised to accelerate the adoption and practical utility of blockchain technology, pushing the boundaries of what's possible on decentralized networks.
