Ethereum completes the final phase of the Fusaka upgrade, with the second BPO fork significantly increasing the Layer2 capacity ceiling
January 8th news, the Ethereum network has successfully executed the second planned "Blob Parameter" (BPO) fork. This lightweight upgrade not only marks the conclusion of the Fusaka upgrade that began in December last year, but also lays a solid foundation for the sustainable expansion of the Layer2 ecosystem by allowing flexible adjustments to specific parameters (such as blob targets) on the Ethereum network.
This BPO parameter fork increased the target number of blobs per block from 10 to 14, and the maximum number from 15 to 21. This is another scalability enhancement following the first BPO adjustment on December 9th.
Blobs are dedicated temporary data storage units designed for Ethereum's Layer 2 Rollups. By bundling transaction data into blobs and submitting them to the mainnet via Rollup, data availability can be ensured at extremely low cost.
Therefore, the increase in blob capacity directly translates into more abundant and cheaper data space for Layer 2 networks, helping further reduce users' transaction costs.
The core objective of the Fusaka upgrade is to systematically improve Ethereum's data availability layer. In addition to introducing the flexible BPO adjustment mechanism, this upgrade also includes significant improvements to the PeerDAS (peer-to-peer data availability sampling) technology.
This technology allows nodes to verify the validity of an entire blob by checking only randomly sampled data, without needing to download the full dataset, greatly reducing the burden on network nodes and forming the basis for the sustainable expansion of blob capacity.
In summary, from introducing PeerDAS to gradually implementing BPO scalability, the Fusaka upgrade demonstrates that Ethereum is advancing through modular, incremental technological iterations and continuous optimization of the Layer 2 "settlement and data availability layer" infrastructure, paving a clear development path.
This sustainable optimization approach to scaling aims to ensure network stability and efficiency even as ecosystem demand surges, laying a solid foundation for the next phase of large-scale applications.
#以太坊 #Rollups