Data transformation caching in an artificial intelligence infrastructure

    公开(公告)号:US10275285B1

    公开(公告)日:2019-04-30

    申请号:US16046337

    申请日:2018-07-26

    摘要: Data transformation caching in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to a dataset; generating, in dependence upon the one or more transformations, a transformed dataset; storing, within one or more of the storage systems, the transformed dataset; receiving a plurality of requests to transmit the transformed dataset to one or more of the GPU servers; and responsive to each request, transmitting, from the one or more storage systems to the one or more GPU servers without re-performing the one or more transformations on the dataset, the transformed dataset.

    Filesystem Property Based Determination of a Possible Ransomware Attack Against a Storage System

    公开(公告)号:US20210216631A1

    公开(公告)日:2021-07-15

    申请号:US17074261

    申请日:2020-10-19

    IPC分类号: G06F21/56

    摘要: An illustrative method includes a data protection system identifying a first attribute set associated with a first file stored in a storage system, determining that the first file is replaced in the storage system with a second file, identifying a second attribute set associated with the second file, and determining, based on the determining that the first file is replaced in the storage system with the second file and on one or more attributes in at least one of the first attribute set or the second attribute set, that data stored by the storage system is possibly being targeted by a security threat.