March 12, 2013
OpenSFS has chosen its Community Representative Director for 2013: Tommy Minyard, director of Advanced Computing Systems (ACS) at the Texas Advanced Computing Center (TACC). We got the new director's views on Lustre's opportunities in big data and exascale, maintaining a single source tree, and new features on the horizon. Read more…
August 1, 2011
A year ago the Lustre community was stunned by Oracle's message at the 2010 Lustre User Group (LUG). Lustre was no longer a vendor neutral platform; you had to buy Sun/Oracle storage hardware to get future versions of the software. The community uproar was strong to the threat HPC's most popular file system going away. Read more…
October 21, 2010
Some of the most prominent organizations in the HPC community have joined together to bootstrap a non-profit corporation devoted to scalable file system technologies. On Tuesday, Cray, Data Direct Networks, Lawrence Livermore National Laboratory and Oak Ridge National Laboratory announced the incorporation of Open Scalable File Systems, Inc. The newly-hatched group has cast itself as the focal point for development of Lustre and other open source file system technologies aimed at high performance computing. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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