April 6, 2011
Bruce Maches provides a thorough examination of the complexity and resource requirements of specialized life science applications and what the role (and challenges) will be as cloud continue to enter into the industry. Many life science companies are struggling to afford to internally build, implement, and support much of the required systems and infrastructure but as Maches argues, there are alternatives. Read more…
March 15, 2011
We recently published an article that provided the opinions of a number of thought and industry leaders on the subject of public cloud viability for mission-critical or business-critical needs. While the responses were rather wide-ranging, there were a few common issues (including matters of cost, security and existing investment) that got Robin Meehan’s wheels turning. Read more…
September 16, 2010
Making sense of private cloud ROI is tricky business; for some, private clouds are a no-brainer following even a cursory cost analysis, for others this is never quite clear—just how much will be saved with an investment now (despite constrained budgets) over the course of say, five years—and will it be worth it? Read more…
August 24, 2010
While private clouds are getting far more attention than they received at the beginning of the cloud buzz boom, the realities of the complexities of actual building them--not to mention the financial and time investments--are often overlooked. 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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