HopsFS won the IEEE Scale Challenge for 2017, awarded by CCGRID. Beating off strong competition, the Hops team received the award for Scaling HDFS to more than one million operations per second with HopsFS.
Salman Niazi accepting the IEEE Scale Prize Award.
Distributed Filesystems for Deep Learning More training data gives predictable gains in prediction accuracy tl;dr When you train deep learning models with lots of high quality training data, you can beat state-of-the-art prediction Read more
Millions and millions of files: NVMe now in HopsFS Leverage NVMe for high-performance deep learning Datasets used for deep learning may reach millions of files. The well known image dataset, ImageNet, contains 1m images, and Read more
Stuffed Inodes in HopsFS using tiered storage with NDB Mikael Rönstrom is the designer of MySQL Cluster (or NDB as we prefer to call it to ensure you don’t confuse this distributed, real-time in-memory database Read more