Executing a machine learning model in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: receiving, by a graphical processing unit (‘GPU’) server, a dataset transformed by a storage system that is external to the GPU server; and executing, by the GPU server, one or more machine learning algorithms using the transformed dataset as input.

A storage system for sensor data includes a plurality of storage modules coupled together via a network fabric, each storage module including a plurality of form factor non-volatile memory (NVMe) storage units. The system also includes an integrated processor coupled to the network fabric and storage modules. The integrated processor is configured for control functions and data processing. The integrated processor configuration includes instructions such that the plurality of storage devices receive data via a data centric publish subscribe (DCPS) notification followed by a remote direct memory access (RDMA) transfer.

A memory device includes several normal memory circuits and a redundant memory circuit is disclosed. The several normal memory circuits include several normal memory arrays. The redundant memory circuit includes a redundant memory array. The several normal memory arrays share the redundant memory array. When a first normal memory cell of a first normal memory array of the several normal memory arrays is destructed, a first redundant memory cell of the redundant memory array replaces the first normal memory cell. When a second normal memory cell of a second normal memory array of the several normal memory arrays is destructed, a second redundant memory cell of the redundant memory array replaces the second normal memory cell.

A method includes determining a respective number of and respective locations of valid data portions of a plurality of blocks of NAND memory cells, based on the respective locations of the valid data portions, determining respective dispersions of the valid data portions within the plurality of blocks of NAND memory cells, based at least on the respective dispersions, selecting a block of NAND memory cells from the plurality of blocks of NAND memory cells, and performing a folding operation on the selected block.

A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards. The first data card subsequently detects a transfer gesture between the first and second data cards, and in response, transmits the portion of the first data file from the first data card to the second data card over the peer-to-peer connection.

Modifying storage distribution in a storage system that includes one or more storage devices, including: detecting, for a storage device among the one or more storage devices, that a storage capacity of the storage device is different from a storage capacity of another storage device of the one or more storage devices, and responsive to detecting that the storage capacity for the storage device is different from the storage capacity of the other storage devices of the one or more storage devices, modifying a distribution of shards of data for a data stripe among the one or more storage devices.

A computing system having memory components of different tiers. The computing system further includes a controller, operatively coupled between a processing device and the memory components, to: receive from the processing device first data access requests that cause first data movements across the tiers in the memory components; service the first data access requests after the first data movements; predict, by applying data usage information received from the processing device in a prediction model trained via machine learning, second data movements across the tiers in the memory components; and perform the second data movements before receiving second data access requests, where the second data movements reduce third data movements across the tiers caused by the second data access requests.

A system and method for adaptive RAID geometries. A computer system comprises client computers and data storage arrays coupled to one another via a network. A data storage array utilizes solid-state drives and Flash memory cells for data storage. A storage controller within a data storage array is configured to determine a first RAID layout for use in storing data, and write a first RAID stripe to the device group according to the first RAID layout. In response to detecting a first condition, the controller is configured to determine a second RAID layout which is different from the first RAID layout, and write a second RAID stripe to the device group according to the second layout, whereby the device group concurrently stores data according to both the first RAID layout and the second RAID layout.

A remote data replication method and a storage system, where a production array sends a data replication request to a disaster recovery array. The data replication request includes an identifier of a source object and a data block corresponding to the source object. The data block is stored in physical space of a hard disk of the production array. The disaster recovery array receives the data replication request. The disaster recovery array creates a target object when the disaster recovery array does not include an object having a same identifier as the source object. An identifier of the target object is the same as the identifier of the source object, the disaster recovery array writes the data block into the physical space.

Embodiments disclosed herein provide systems, methods, and computer readable media to access data on removable storage media via a network attached access device. In a particular embodiment, a method provides receiving one or more user provided, in the removable storage media access device, receiving data over a packet communication network for storage on a removable storage medium. After receiving the data, the method provides preparing the data for storage on the removable storage medium. After preparing the data, the method provides writing the data to the removable storage medium.