July 23, 2012
Penguin Computing's cloud division offers universities a number of flexible arrangements involving both locally-installed and Web-accessible HPC resources. Read more…
July 25, 2011
UCLA has added itself to list of institutions moving "outside the box" of brick and mortar solutions. The university recently selected HP's POD containerized datacenter to meet the needs of an expanding research base for its shared HPC cluster program. Read more…
May 11, 2011
Next-generation sequencing has opened a world of possibilities for science and medicine, but for providers of remote high performance computing like Penguin Computing via its HPC on demand service, the new world of massive genomics analytics has opened other doors--for researchers and their own business model. Read more…
July 14, 2010
Amazon's cloud platform got a high performance boost this week with the announcement of its Cluster Compute Instances (CCI). CCI specifically targets HPC workloads, incorporating high-end CPU horsepower and a low-latency interconnect fabric into the company's popular EC2 computing on-demand offering. The new capability welcomes HPC into the most well-recognized public cloud in the world. 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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