Expert Parallelism Load Balancer (EPLB) is a load balancing algorithm for Expert Parallelism (EP) in deep learning. It ensures load balance across different GPUs through a redundant expert strategy and a heuristic packing algorithm, while utilizing group-constrained expert routing to reduce inter-node data traffic. This algorithm is significant for large-scale distributed training, improving resource utilization and training efficiency.