コンテナ型仮想化による機械学習支援を目的とした 計算機環境の実現

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  • Realization of Containerized Virtualization of Computing Environments to Support Machine Learning

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Using container virtualization, we have developed a system that provides a computing environment capable of running machine learning to a larger number of users. Conventional GPU servers do not provide sufficient separation of the computing environment between users, and when a GPU server is shared by multiple users, many things need to be taken care of. This system provides a computing environment as a container, making it difficult for users to be affected by the operations of other users, and enabling the stable provision of computing resources such as GPUs to a larger number of users.

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