Deep learning computational storage drive

Abstract

Use of computational storage drives (CSDs) in a machine learning pipeline. The CSD may include a machine learning coprocessor capable of natively executing a machine learning model on raw data stored locally at the CSD. In turn, one or more lower order machine learning operations may be executed at a CSD in response to a read/transform command issued by a host. In turn, the CSD may return transformed data comprising data or metadata that is an output of the lower order machine learning operations. This approach may allow for application of a machine learning model locally to input data stored on the CSD having the machine learning coprocessor. This may avoid network bandwidth associated with traditional read and write operations for input and output data from a machine learning pipeline. Moreover, use of CSDs may provide highly parallelized processing using CSDs for application of machine learning operations at the edge of a network.