October 5, 2010
Last week, HPC resource provider R Systems hosted its annual HPC 360 conference with a distinct focus on empowering the missing middle of manufacturing via access to high-performance computing capabilities. The event highlighted the need for complex software packages for modeling and simulation and on a larger level, emphasized the value of the "Silicon Prairie" as an enabler for businesses feeding into the larger international manufacturing supply chain. Read more…
October 4, 2010
During last week's HPC 360 event, Matt Dunbar, Chief Software Architect for SIMULIA discussed the challenges of running out of capacity on in-house systems and what evaluation measures are required when considering deploying on-demand resources for post-processing. 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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