A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in 2017 with scale-up production for e …
Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the pit of your stomach, or at least gi …
Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's output. The Japanese multinational has …
View the news and highlights from this year’s ISC High Performance 2017 in Frankfurt, Germany.
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As data processing grows more and more specialized, effective storage strategies are more important than ever. And for IT professionals reevaluating their storage needs, software-defined and object-based storage are gaining ground by automating storage management – a trend that is only set to continue.
High performance workloads, big data, and analytics are increasingly important in finding real value in today's applications and data. Before we deploy applications and mine data for mission and business insights, we need a high-performance, rapidly scalable, resilient infrastructure foundation that can accurately, securely, and quickly access data from all relevant sources. Red Hat has technology that allows high performance workloads with a scale-out foundation that integrates multiple data sources and can transition workloads across on-premise and cloud boundaries.
HPC may once have been the sole province for huge corporations and national labs, but with hardware and cloud resources becoming more affordable even small and mid-sized companies are taking advantage.
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