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Deep Learning Enterprise Architecture

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Published on 2021-07-16
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MindSpore is an open-source deep-learning training/inference framework used for mobile, edge, and cloud scenarios. This framework is designed to provide development experience with a friendly design and efficient execution for the data scientists and algorithmic engineers, native support for Ascend AI processors, and software-hardware co-optimization. It should be noted here that this open-source deep learning inference is also utilizing the cloud-native ecosystem for deployment and management. The below architecture diagram is created in EdrawMax and shows how MindSpore is looking forward to enabling users to use Jupyter to develop models. In the coming years, users can use Kubeflow tools like fairing to build containers and create Kubernetes resources to train their MindSpore models.
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