"Getting Bright!" - in 2 minutes

By Bill Harries | April 12, 2019

I recognize that most readers of this blog are pretty well versed in the complexities of managing large scale clusters for high performance computing, artificial intelligence, etc.  But it might not be so obvious to your colleagues or others that need to understand why commercial-grade software with enterprise-class support is so critical to efficiently deploying and managing these complex systems.  Or why managing geographically disbursed clusters is so challenging.  Or why understanding who is using the cluster resources and how allocating those resources efficiently is crucial to the ROI of these very large investments in hardware, applications, and data centers. 

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Bright Joins Dell EMC at Rice Oil & Gas and GTC

By Lori Martin | April 09, 2019

It was a great privilege for Bright to be an invited guest of Dell EMC at two recent industry events.

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Automating tasks with Ansible on Bright Cluster Manager head nodes and software images.

By Bright Engineering Staff | April 02, 2019

Ansible is a simple, agentless IT automation tool that anyone can use. In this blog post, we will look at automating head node and software image tasks using Ansible.

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Homegrown Cluster Management...Just because you can, doesn't mean you should Pt. 2

By Bill Wagner | March 28, 2019

Picking up from last week, I illustrated a common dialogue between IT administrators and executive leadership concerning the decision to build an HPC cluster management solution. Now that the green light has been given to build, all of that money you “saved” by not using commercial cluster management software allowed you to buy more hardware to support jobs from end users, right?  You can see the extra servers on the floor, so you must be providing your users with more capacity for work, right?  Maybe not. Does the do-it-yourself approach you developed tell you precisely which system resources are actually being used by end users, and for which jobs?  Or, are users requesting more resources for their jobs than they really need and sitting on them (unused), preventing other users from gaining access to do real work?  And one more thing … how much server/system resource is being inefficiently consumed by the processes of your do-it-yourself cluster management solution at the expense of real work for users?  The point is, that cluster that appears to be 95% utilized is very likely to be far less productive than you think. 

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It all started in Tokyo - Bright's growing business in Asia

By Lee Carter | March 26, 2019

Having just returned to my home base in the UK after attending the 2nd running of Supercomputing Asia, where I had the pleasure of meeting and speaking with many of Bright’s customers and partners attending the show, I started thinking about how our business got started in the Region.   

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It’s time to throw both IT and the AI Data Scientist a life preserver!

By Dan Kuczkowski | March 21, 2019

Everyone in the computer business knows just how hot the machine learning (ML) space is today.  The promise, as well as the demands, being placed on the AI data scientist by their companies, are numerous.  For most of these people, their GPU laden computers used to run analysis are viewed as just a tool. Often, each data scientist is provided with their own powerful computer and they don’t want to be burdened with the need to operationalize these computers. Simply put, they just want to run their jobs as quickly as possible.

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Homegrown Cluster Management…Just because you can, doesn’t mean you should Pt. 1

By Bill Wagner | March 19, 2019

The historical thinking behind building and maintaining your own HPC cluster management solution using open source tools goes something like this:  “We have smart people that can build this. We have limited capital budget. Commercial cluster management software costs money, but open source tools like xCAT, Rocks, OpenHPC and others are free. If we build a solution ourselves using open source tools, we can use the savings to buy more hardware.”  

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Easily Manage a Diverse Set of Workloads with Bright Cluster Manager

By David Dean | March 12, 2019

High-Performance Computing has undoubtedly changed in the last few years and administrators are frequently tasked with supporting unusual request. Gone are the days of all HPC cluster users being script savvy Computer Scientists who speak BASH as fluently as they do English.

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Bright Cluster Manager 8.2 Webinar - Catch the Replay Now!

By Rachel Chicken | March 05, 2019

In case you missed it, we’d like to draw your attention to a webinar that we hosted last week, giving an insight into Bright Cluster Manager 8.2. Catch the replay here.

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How 5G Networks will Influence the Location of Edge Compute

By Bill Wagner | February 26, 2019

While the world eagerly awaits the rollout of 5G networks and the exciting new apps for both consumers and businesses that will be made possible via 5G services, enterprises, telcos, hosting providers and others are scrambling to architect and build the computing infrastructure necessary to support the new requirements of these apps. Two key challenges in defining the computing infrastructure for 5G apps are that they will be data/compute intensive and have little tolerance for network latency. The former means that significant computing capacity is needed to deliver the intended experience of the app and the latter means that the compute must be located in relative proximity to the user of the app. The result: A significant build-out of localized compute (predominately Linux servers and clusters) will be required to service the new generation of 5G apps speeding towards us. But where (specifically) will that compute infrastructure reside? 

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