HPC & Analytics

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CB Technologies transforms HPC for aerospace company with power-efficient HPC infrastructure that delivers higher performance, lower cost for faster ROI.

We addressed the unique needs of our customer by centralizing their HPC as a service for over 1,000 engineers. View Case Study

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Why HPC & Analytics

High Performance Computing and Analytics are resource intensive. They demand powerful environments with dynamic allocation for maximum productivity. CB Technologies delivers premiere HPC and Analytics for today’s most pivotal business systems.

Industry Trends

Trending – HPE & Analytics

High Performance Computing and Analytics are resource intensive. They demand powerful environments with dynamic allocation for maximum productivity. CB Technologies delivers premiere HPC and Analytics for today’s most critical industries, propelling our customers’ success by providing powerful, efficient solutions for the modern enterprise. Learn more about the trends in HPC & Analytics with these content articles from CB Technologies.

Improving the Energy Efficiency of Modern Supercomputers

Energy efficiency has become an increasingly crucial requirement for supercomputers as the industry races to assemble the next generation of powerful computing systems. Not only does furthering energy efficiency promise to create a whole new breed of powerful and efficient systems, but it will also be a critical enabler of the ability to achieve even greater computing possibilities. We’ve come a long way, but it’s clear there is still some difficult – yet critically important – work that the industry must do in the realm of energy efficiency. Enhancing computing power without prohibitive increases in energy demand will undoubtedly require a complete transformation spreading across every aspect of HPC system design. To help achieve this goal, HPE is working to drive new advancements in energy efficiency research, improve power-efficiency in both new and existing system designs, and continue to actively research, develop, and test novel approaches that will not only dramatically improve the energy efficiency of modern supercomputers, but also help the industry usher in a new era of computing. 

A Brief History of Machine Learning

As members of the Machine Learning community, it would be a good idea for us all to have an idea of the history of the sector we work in. Although we are currently living through an authentic boom in Machine Learning, this field has not always been so prolific, going through periods of high expectations and advances as well as “winters” of severe stagnation. Birth [1952 – 1956]1950 — Alan Turing creates the “Turing Test” to determine whether or not a machine is truly intelligent. In order …

Improve the Efficiency of Mergeout on Wide Tables

Posted on Tuesday, February 20th, 2018 at 2:10 pm. Written by Soniya This blog post was co-authored by Xiao Ling and Jim Kelley. Introduction When resource pools were first introduced to Vertica, the average computer had a lot less memory than it does today. The default memory size for the Tuple Mover resource pool, 200 MB, reflects the more limited resources of that period. As hardware and software technology has advanced, Vertica users have begun to ask, “I’ve got servers with hundreds …

IDG Contributor Network: Why data democratization is crucial to your business

In the Information Age, the power of data has been mostly kept in the hands of a few data analysts with the skills and understanding necessary to properly organize, crunch, and interpret the data for their organization. This approach was born out of necessity—most employees were not trained how to effectively use the growing flood of data.But things have changed with the emergence of technologies capable of making data shareable and interpretable for nondata analysts. Data democratization al…

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CBT consolidated data centers for classified and unclassified communities at leading manufacturer of commercial jetliners and defense, space and security systems.
CBT contracted to improve Vertica performance at one of the largest global life and health reinsurance companies. Reduced latency from 160+ seconds to 4.5 seconds (35x performance gain).
CBT designed critical analysis systems to reveal statistical maintenance patterns at the world's largest aerospace company.
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