Closed Loop Machine Learning Based Power Optimization Techniques

    公开(公告)号:US20250133491A1

    公开(公告)日:2025-04-24

    申请号:US18381367

    申请日:2023-10-18

    Applicant: Google LLC

    Abstract: Aspects of the disclosure are directed to network optimization of various workload servers running in a distributed cloud platform through closed loop machine learning inferencing performed locally on the workload servers. The workload servers can each be equipped with one or more machine learning accelerators to respectively perform local predictions for the workload servers. In response to the local predictions, attributes of the workload servers can be adjusted automatically for optimizing the network.

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