Scheduling global resources and increasing the utilization efficiency of resources are of the positive significance. We also consider optimizing the distributed AI calculation engine and working with the underlying neural network chip makers. However, our focus is still on reducing AI business computing costs, rather than enhance the AI model of any single business model training.