Qingcheng Jizhi Bagualu

Qingcheng Jizhi Bagualu is a high-performance model training acceleration system designed for GPU clusters, especially those using domestic A512 clusters. It provides significant performance optimizations for large model pre-training, with average efficiency improvements of up to 30% and certain operator boosts reaching 300%. With advanced parallelism and distributed communication optimization, it can scale model pre-training to up to 100,000 servers and handle models with hundreds of trillions of parameters. This tool is best for teams or organizations engaged in large-scale AI model training who require scalable and efficient distributed training solutions.