January 31, 2012
Storage maker Nimbus Data Systems has launched its newest product line, the E-Class Flash Memory System, which scales up to 500 terabytes per file system and is equipped with enterprise goodies like fault tolerance and high availability. The latest offering is designed to provide a faster, denser, and more energy-efficient alternative to high capacity disk-based systems. Read more…
August 2, 2011
Nimbus Data Systems has unveiled its second-generations flash storage system, promising three times the performance and expanded networking options The new S-Class systems will be offered at the same $10,000/TB price as the first-generation product, which was introduced last April. Since then the company has sold dozens of systems, including a 100 TB deployment at eBay. Read more…
April 19, 2010
Fusion-io will use cash to scale up infrastructure and sales. 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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