Media Coverage / March 1, 2018
Machine Learning, AI and IoT have a File System Problem
Unstructured data applications are increasingly IO hungry. It’s a problem that impacts not only the High-Performance Computing (HPC) market, but also the traditional enterprise as they start initiatives like Machine Learning, Artificial Intelligence (AI) and Internet of Things (IoT). The problem is the file systems these initiatives count on to store the data. Even object stores, once thought to be the new storage front end for HPC and modern data center applications, now seems to be just another tier for a sophisticated workload that a global file system manages…
Media Coverage / February 21, 2018
HPE to Deliver Seven Supercomputers to Department of Defense
DDN Partner Hewlett Packard Enterprise (HPE) has been selected to supply seven new supercomputers for the US Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP). Backed by 12PB DDN Lustre storage, four clusters will deliver more than 7.3 petaflops of peak performance to support research in hypersonics and computational modeling of Air Force weapon systems. Three Navy systems will supply 6.8 petaflops of computational performance, sporting the same 24-core Xeon processors and Omni-Path fabric, along with 12PB of DDN storage. They will be used to support advanced weapons capabilities and global weather modeling…
Media Coverage / January 31, 2018
The oil industry has every reason to be optimistic. Often it is the lessons learned during downturns that are forgotten when growth occurs. For companies operating more cost- consciously, a disciplined eye on operating cost means the difference between prosperity and failure. And in this recovery period these lessons learnt will pay dividends…
Media Coverage / January 23, 2018
Machine Learning Infrastructures Require Scale to Spare
Used across a wide range of processes to improve or replace human input, machine learning is attractive because it is able to addresses problems never before tackled due to the prohibitively large volumes of data involved. But when it comes to managing these often massive data sets, it’s important to think big from the start to ensure long term success. In fact, the larger the data set, the more potential value that machine learning brings...
Media Coverage / January 18, 2018
Fostering Lustre Advancement Through Development and Contributions
In this contributed feature, Carlos Aoki Thomaz, DDN senior product manager, provides perspective on the path of Lustre since Intel ended its commercially supported version last April and open sourced its Lustre activities. In a technically-detailed accounting, Thomaz spells out a number of strategic investments DDN is making in Lustre’s development...