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Target customers: all users. Features released: You can deploy Data Science clusters on top of ACK. This way, you can use the benefits brought by ACK in service deployment and container application management to reduce O&M costs of underlying cluster resources. This helps you focus on big data and AI tasks and helps reduce overall O&M costs. Data Science clusters support the CPU+GPU heterogeneous computing framework and a variety of model training frameworks, such as PyTorch and DeepSpeed. This helps meet your requirements for high computing performance.