AWS researchers Ekleen Kaur and Everton Fraga have identified four critical performance bottlenecks in the go-verkle implementation of Ethereum's Verkle tree. Their findings, presented at EthCC[9], highlight issues such as shadow node redundancy causing 35% data bloat, excessive database index key redundancy increasing storage by 50%, inefficient memory copying slowing deserialization by 24 times, and cross-language proof incompatibility risking unintended forks. AWS has proposed optimizations to Ethereum's core repository, aiming to enhance node efficiency by over threefold, facilitating Verkle tree integration.