Distributed Deep Learning and Model Parallelism Publication Trend The graph below shows the total number of publications each year in Distributed Deep Learning and Model Parallelism.

We will see how, if we use distributed objects as the basis ofdistributed processing, we can apply proven object oriented designtechniques with little modification instead of partitioning oursoftware ...

Gartner defines distributed file systems and object storage as “software and hardware solutions that are based on ‘shared-nothing architecture’ and that support object and/or scale-out file ...

The Distributed Asynchronous Object Storage (DAOS) is a high performance open source storage system that has redefined performance for a wide spectrum of HPC and AI workloads. DAOS has achieved this ...

This Magic Quadrant assessed vendors that provide products for unstructured data growth for enterprise data centers, including distributed files systems vendors and object storage providers.

Like Kubernetes itself, the underlying object storage should be distributed, decoupled, declarative, and immutable.