Alluxio is a developer of a memory-centric data storage system design to store, access and manage data. The company's system provides a single source virtual data layer connecting data analytics and machine learning frameworks to data running on premises for the enhancement of data processing speed, enabling clients to collaborate closely with the community and unify data at memory speed.
Alluxio was founded at UC Berkeley's AMPLab by the creators of the Tachyon open source project. The Alluxio (formerly Tachyon Nexus) team have worked on the way data is stored, accessed, and managed by focusing on a memory-centric architecture. Alluxio moves data closer to AI and machine learning compute frameworks in any cloud across clusters, regions, clouds and countries, providing memory-speed data access to files and objects. They work with customers in financial services, high technology, retail and telecommunications.
Founder Haoyuan Li was a Ph.D. student at UC Berkeley AMPLab when he built the beginnings of Alluxio. His goal was to build a new data analytics stack. Today, Alluxio runs workloads in companies such as Alibaba, Baidu, Barclay, CERN, ESRI, Huawei, Intel, and Juniper.
Architecture Overview - Alluxio v1.4
Overview - Alluxio v1.8
Speeding up I O for Machine Learning ft Apple Case Study using TensorFlow, NFS, DC OS, & Alluxio
January 15, 2020