Cloudian, ABEJA Team to Provide Object Storage for Deep Learning

Cloudian has partnered with ABEJA to develop a solution, enabled by Cloudian’s HyperStore, that can be used in hybrid cloud deployments to isolate sensitive data and confidential information, such as manufacturing data and research and development materials within on-premises storage. The ABEJA platform is a PaaS technology that acquires, accumulates, learns, analyzes, outputs and feeds back various data.

The solution, enabled by Cloudian’s HyperStore, may be used in hybrid cloud deployments to isolate sensitive data and confidential information, such as manufacturing data and research and development materials within on-premises storage.

The ABEJA platform is a PaaS technology that acquires, accumulates, learns, analyzes, outputs and feeds back various data.

ABEJA’s deep learning technology depends on data to “learn” the correct ways to discover answers to business and research questions. This process starts with the acquisition of mass data from a variety of sources, including IoT devices, sensors and existing systems. After this data is accumulated and validated, it is used to create the neural networks of the deep learning system using ABEJA’s 10-step process. This process – and the ongoing operation of the AI system – depend on very large volumes of easily-accessible unstructured data, something that plays to the strengths of the Cloudian limitlessly scalable object storage platform.

“Machine learning applications require storage that’s both bigger and smarter, combining capacity, rich metadata tagging, and search tools in one platform,” says Jon Toor, CMO at Cloudian. “Our partnership with ABEJA will help us bring these Cloudian benefits to even more users as we further demonstrate the power and efficiency of our combined solution.”

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