Pure Storage, Inc.

James Fisher

Naveen Neelakantam

Yuval Frandzel

Emily Watkins

Ramnath Sai Sagar Thumbavanam Padmanabhan

Harry Lydiksen

Ronald S Karr

Brian Gold

Taylor Ericson

A hyperscale artificial intelligence and machine learning infrastructure includes a plurality of racks, where: at least one or more of the racks include one or more GPU servers; at least one or more of the racks include one or more storage systems; each of the racks include one or more switches coupled to at least one switch in another rack; and the one or more GPU servers are configured to execute one or more artificial intelligence or machine learning applications, wherein data stored within the one or more storage systems is used as input to the one or more artificial intelligence or machine learning applications.

Artificial intelligence and machine learning hyperscale infrastructure

Performing disaster recovery in a cloud-based storage system, including: creating, by a storage system a snapshot of a dataset; uploading, from the storage system to a cloud computing environment, the snapshot; storing, by the cloud computing environment, the snapshot; detecting, by the cloud computing environment, that the dataset is not available on the storage system; and creating, by the cloud computing environment using the snapshot that is stored within the cloud computing environment, a cloud-based storage system that includes the dataset.

Creating cloud-based storage systems using stored datasets

Cloud-based disaster recovery

Hyperscale artificial intelligence and machine learning infrastructure

Storage layer data obfuscation, including: determining a subset of a dataset to obfuscate in accordance with a security policy; generating, based at least in part on the security policy, an obfuscated snapshot of the dataset that is representative of the dataset with the subset of the dataset obfuscated; and sending, to a target computer system, the obfuscated snapshot from which a restored version of the dataset includes the subset of the dataset obfuscated.

Storage layer data obfuscation

Tiering duplicated objects in a cloud-based object store, including: determining, for a particular data object, a number of copies of the data object to be retained; storing, in a first data tier, at least one copy of the data object; storing, in a second data tier, one or more copies of the data object, wherein a number of copies of the data object that are stored in the second data tier is equal to the number of copies of the data object to be retained minus a number of copies of the data object that are stored in the first data tier; and responsive to receiving a request for the data object, servicing the request from the first data tier.

Tiering duplicated objects in a cloud-based object store

Growing community of inventors

Golden, CO, United States of America

James Fisher