December 9, 2008
I wrote last week about some of the analyst presentations at Gartner’s annual Data Center Conference, but Gartner’s sages weren’t the only ones talking cloud computing. One very interesting talk began with IBM’s Willy Chiu, vice president of High Performance on Demand Solutions, and concluded with Robert Rosier, founder and CEO of IBM Blue Cloud customer iTricity. Read more…
October 14, 2008
Following the greater trend toward hybrid delivery models combining in-house and outsourced resources, IBM has once again expanded its cloud computing strategy. Cloud users choosing IBM will have myriad solutions ranging from SaaS to global cloud computing centers to money for building a new datacenter. 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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