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Resource Management Across the Private/Public Cloud Divide

This is the final entry in a insideHPC series of features that explores new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article highlights how resource management systems that can manage clusters on-premises or in the cloud greatly simplify cluster management. That way, different tools do not have to be learned for managing a cluster based on whether it is located in the company data center or in the cloud.

HPC System Management: Scheduling to Optimize Infrastructure

Whether the application is floating-point intensive, integer based, uses a lot of memory, has significant I/O requirements, or its widespread use is limited by purchased licenses, a system that assigns the right job to the right server is key to maximizing the computing infrastructure. We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article discusses how scheduling can work to optimize infrastructure and improve HPC system management. 

How Deep Learning is Causing a ‘Seismic Shift’ in the Retail Industry

 These days, taking big data further and integrating machine and deep learning means having a competitive edge in the retail industry. Analytics — and their analysis — have always been a cornerstone of retail success. And now, deep learning techniques are going to push the data boom to the next level. A new insideHPC special report, courtesy of Dell EMC and NVIDIA, explores how the retail industry is being transformed by machine and deep learning.

The 3 Types of Cloud Computing for HPC Systems Management

Three types of clouds have been developed: public clouds, private clouds and hybrid clouds. We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article explores the three types of cloud computing, as well as how cloud computing can work to reduce CAPEX. 

Reinventing the Retail Industry Through Machine and Deep Learning

Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideHPC special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry. 

Clusters & Cloud Computing: Speeding up HPC Systems Management

We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article focuses on how clustering servers and utilizing cloud computing can help your enterprise achieve more flexibility and speed — as well as improve HPC systems management.

Successfully Managing Workload Convergence in Your Data Center

Modern enterprises are being challenged to implement new technologies and produce results faster without increasing their IT budgets. This is the first a series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing.

AI Hardware to Support the Artificial Intelligence Software Ecosystem

Balance ratios are key to understanding the plethora of AI hardware solutions that are being developed or are soon to become available. This post from an insideHPC Special Report explores AI hardware options to support the growing artificial intelligence software ecosystem. 

Top 10 HPC White Papers for 2017: Machine Learning, AI, the Cloud & More

Many of the top 10 2017 HPC white papers deal with the next steps in the HPC journey, including moving to the cloud, and discovering the potential of machine learning and AI. The most downloaded reports of the year were written with industry partners such as Red Hat, Dell EMC, Intel, HPE and more.

AI Software: Understanding the Rapidly Expanding Ecosystem

The hardware and software for AI devices is rapidly evolving, so it is important to procure wisely for the future without incurring technology or vendor lock in. This post from an insideHPC Special Report focuses on AI software and how to best use and understand this rapidly expanding ecosystem.