Enabling data portability between systems

    公开(公告)号:US12079222B1

    公开(公告)日:2024-09-03

    申请号:US17160623

    申请日:2021-01-28

    CPC classification number: G06F16/24573 G06F16/248 G06F16/275

    Abstract: Enabling data portability between systems, including: submitting, to a cloud-based metadata store storing metadata describing data stored in a plurality of storage systems each coupled for data communications with a corresponding on-premises cloud infrastructure of a plurality of on-premises cloud infrastructures, a query; selecting a subset of the data responsive to the query and stored in at least one first storage system coupled to at least one first on-premises cloud infrastructure; and storing, from the at least one first storage system to a second storage system coupled to a second on-premises cloud infrastructure, the subset of the data responsive to the query.

    Enhanced data access using composite data views

    公开(公告)号:US12175124B2

    公开(公告)日:2024-12-24

    申请号:US17075615

    申请日:2020-10-20

    Abstract: A storage system has storage devices and a storage controller that includes a processing device. The processing device is to receive a request for portions of data stored at locations of one or more storage devices. The processing device is to generate a file at a storage device. The file corresponds to a view of the portions of data stored at the locations of the one or more storage devices. The processing device is to identify the portions of data that are stored at the locations of the one or more storage devices. The processing device is to provide the view comprising the portions of data.

    Batch building for deep learning training workloads

    公开(公告)号:US11455168B1

    公开(公告)日:2022-09-27

    申请号:US16747854

    申请日:2020-01-21

    Abstract: Batch building for artificial intelligence workflows, including: issuing, responsive to a request for a batch of data objects, requests to a data repository for multiple data objects stored among one or more directories; selecting, in accordance with a batch building policy, a subset of data objects based on one or more responses to the requests; and providing, to the artificial intelligence workflow, a batch of data objects that includes the subset of data objects.

    SEARCH ACCELERATION FOR ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20210174208A1

    公开(公告)日:2021-06-10

    申请号:US17159982

    申请日:2021-01-27

    Abstract: An apparatus for artificial intelligence acceleration is provided. The apparatus includes a storage and compute system having a distributed, redundant key value store for metadata. The storage and compute system having distributed compute resources configurable to access, through a plurality of authorities, data in the solid-state memory, run inference with a deep learning model, generate vectors for the data and store the vectors in the key value store.

    Training artificial intelligence workflows

    公开(公告)号:US12164812B2

    公开(公告)日:2024-12-10

    申请号:US18320778

    申请日:2023-05-19

    Abstract: Nonsequential readahead for deep learning training that includes: receiving an indication of a list of batch storage locations for a batch of data objects; prefetching, for each storage location in the list of batch storage locations, storage content corresponding to the batch of data objects; and storing the storage content corresponding to the batch of data objects within a cache accessible to an artificial intelligence workflow.

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