Adaptive sharding is a method used to improve scalability in blockchain networks by dividing the data and workload into smaller, manageable pieces known as shards. Each shard operates independently but is part of a larger network, allowing for parallel processing of transactions.This approach enhances throughput and reduces congestion, as multiple transactions can be processed simultaneously across different shards. Unlike static sharding, where shards are predetermined, adaptive sharding adjusts the division of data based on network demands and usage patterns. For instance, if one shard experiences high activity while another is underutilized, the system may redistribute workloads or create additional shards dynamically. This flexibility helps optimize resource use and maintain efficiency, especially during peak periods.By implementing adaptive sharding, blockchain networks can handle increased transaction volumes without compromising speed or performance, ensuring a more responsive experience for users.