RAID Inc. – Gold Sponsor of 2019 Lustre User Group (LUG) conference

LUG 2019, is the industry’s premier venue on Lustre and other open source file systems. When:  May 14-17, 2019 in Houston, Texas Where:  University of Houston For more information, visit the 2019 LUG Conference web site (includes hotel information, transportation, detailed agenda, etc)  

DDN Names RAID Inc. a Preferred Lustre Reseller

DDN Names RAID Inc. a Preferred Lustre Reseller SANTA CLARA, Calif. – February 5, 2019 – DataDirect Networks (DDN®) today announced that RAID Inc.® has been named a preferred reseller of DDN’s distribution of Lustre®. DDN’s Lustre division develops the world’s most scalable parallel file system software and offers deep technical support to its preferred partners. RAID Inc., a leading …

Microway, RAID Inc. Announce New Collaboration to Deliver Integrated AI Compute + Data Solutions

Integrated Solutions for Commercial, Academic, and Government Organizations November 8, 2018 – Plymouth and Andover, MA – Microway and RAID Inc. jointly announced today a new collaboration to deliver AI Compute + Data Solutions together. These solutions will be delivered as a unified deployment and single customer experience. Acknowledging the importance of creating comprehensive solutions for end-to-end AI workflows, the …

RAID Inc. Announces Highest Density Footprint EBOD with 106 slots in 4U-Ability®

New Ability® 4U-106 Sets the Standard for Performance, Reliability, Capacity, Agility and Efficiency for Helping Organizations Harness the Power of Data ANDOVER, MA – August 28, 2018 – RAID Inc. today expanded their JBOD series of its enterprise storage solutions with the availability of the 4U 106-Bay JBOD with 12Gbs SAS drives that holds up to an unprecedented 1.2PBl  storage …

“Troubleshooting the Stack” as it Applies to Larger Computer Systems

HPC systems have both layered hardware and software.  A great visual troubleshooting tool is to make a layer diagram of your system, include a couple commands and logs to health check the individual layers. Starting at the end-user client, transverse down through the layers toward the individual disks in your storage.  Think of this as tracking an individual block of …