Jimmy Pike

Five Questions IT Should Consider Before Buying Any More Enterprise Storage

By / Big Data and Storage, Datacenter / November 7, 2016

Stop buying enterprise storage and read this. Modern companies now recognize their most valuable asset is the data running their business. This data (and keeping it or not) may be the most challenging IT discipline. Not only is the underlying technology changing unbelievably quickly, its growth is astronomical. Some estimate worldwide storage will reach >40ZB in …

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Dell’s Cooling Innovation For Scale-Out Computing

By / Big Data and Storage, Datacenter, Enterprise Networking, Server / June 20, 2016

At Dell’s Enterprise Innovation Days conference, Dell’s Extreme Scale Infrastructure (ESI) group publicly unveiled their new liquid cooling solution, ‘Triton’. Let’s dive into what this could mean for some of Dell’s scale-out datacenter customers. The ‘Triton’ design represents the culmination of more than 6 years of design and evolution; ‘Triton’ achieves a performance level for …

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Cavium Steps Up The ARM Race In The Datacenter

By / CPU GPU DSP FPGA, Datacenter, Semiconductor, Server / June 20, 2016

Today Cavium announced the second generation of their ARM Holdings CPU targeted at the server market. The new chip, the ThunderX2, is expected to be available in the second half of 2017 and appears to be one of the best design specs that has been disclosed for the ARM Holdings ecosystem. There is this small …

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The Internet Of Things And Machine Learning

By / Industrial IoT (IIoT), Internet of Things IoT / May 27, 2016

IDC estimates the direct Internet of Things (IoT) market will grow to more than $1.7 trillion by 2020 with a compound annual growth rate (CAGR) of 16.9%. The number of IoT connected devices in everything from cars to refrigerators and elsewhere will climb to more than 30 billion. Device endpoints, infrastructure support, connectivity and companion …

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RESEARCH BRIEF: Rambus Smart Data Acceleration

By / Research, Research Papers, Semiconductor, Server / May 1, 2020

As an industry, if real progress is to be made towards the level of computing that the future mandates, then the way computing problems are attacked must change. The von Neumann execution model has and will continue to serve us well, but additional techniques must be brought to bear. The next logical focus area is data—how it is …

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