Bright Demo and Tutorial Videos

By Bill Harries | July 16, 2019

Have you ever said to yourself – “I sure wish Bright Computing would create some videos or tutorials that show how to...”. I thought so… wish no more. Bright is in the process of building out a number of demos and tutorials that show users how to do all sorts of administrative and management tasks. In many cases, we show ways to do things in both the Bright View graphical cluster management interface as well as our cluster management shell (aka CMSH). The current list of videos includes:

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Realize the Massive Potential of your AI Infrastructure

By Tim Ranagan | July 03, 2019

With an ever-expanding array of future-focused use-cases and solutions, Artificial Intelligence (AI) has rapidly become an essential business and research tool for enterprise, academic, and government end-users. Organizations everywhere are investing incredible amounts of resources into the development of these solutions, and while these AI capabilities are proving to add significant value to our lives, they are also proving to be some of the most demanding workloads in modern computing history. It should come as no surprise that the high-performance computing (HPC) clusters required to run AI workloads place significant strain on traditional (and in some cases “legacy”) IT infrastructure, as businesses struggle to keep pace with ever-expanding sets of hot and warm data.

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Bright Computing Provides Cluster Management Software to Enable Modernized HPC Infrastructure for NeSI and NIWA

By Bright Staff | June 19, 2019

Earlier this week we announced at ISC that we were part of a co-design partnership with Cray, the National Institute of Water and Atmospheric Research Ltd (NIWA), and the New Zealand eScience Infrastructure (NeSI), to collaboratively design and build a hybrid HPC and private cloud infrastructure for NeSI and NIWA based on Bright Cluster Manager and Bright OpenStack.

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Managing Linux Clusters: Everything old is new again

By Bill Wagner | June 11, 2019

It’s becoming clearer every day that the world is racing towards a state of constant, insatiable need for more and more computing power to make sense of the growing sea of data all around us – and we’ve barely scratched the surface.  Just wait until IoT and machine learning kick into high gear.  Not surprisingly, Linux clusters – in various evolving forms – continue to be the preferred approach for providing the computing horsepower to tackle these jobs, yet Linux clusters are notoriously complex and difficult to manage.  For this reason, Bright Computing commissioned a market survey through Hyperion Research to understand how organizations are grappling with the challenges of Linux clusters in the face of growing demand. 

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Advanced Scale Forum Highlights

By Dan Kuczkowski | May 16, 2019

Last month, Bright had the opportunity to attend the Advanced Scale Forum as a bronze sponsor. As mentioned in an earlier blog post, the Advanced Scale Forum takes a broad look at the current state of the industry, discussing the modern challenges facing enterprise users as they leverage high-performance computing (HPC) to build and scale advanced computing solutions such as AI, Cloud, Containers, Data Analytics and so much more.

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Nor-Tech Integrates Bright Cluster Manager for Data Science into HPC Technology

By Bright Staff | May 13, 2019

Nor-Tech, a leading HPC technology integrator and Bright Premier Reseller has recently announced they are now building computers that are optimized with Bright Cluster Manager for Data Science. Bright Cluster Manager for Data Science provides Nor-tech clients with an intuitive management interface, enabling them to administer data science clusters as a single entity, provisioning the hardware, operating system, big data, and deep learning (DL) software from a single interface. The intuitive Bright management interface monitors virtually every aspect of every node reporting any problems it detects in the software or hardware so that administrators can act on any issue impacting data science cluster performance.

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The Top 5 Benefits That Our Customers Value Most In Our Product

By Bill Wagner | May 10, 2019

I recently completed my third year as the CEO of Bright Computing, and it seems that a day doesn’t go by without me discovering some new (to me) capability within our product, Bright Cluster Manager.  With more than a decade of development and customer implementations under its belt, coupled with a product team of 40 people working on the product every day, it’s obviously hard to keep up with everything this product can do.  But while the product has grown in capability, it has remained true to its reputation for being easy to use. 

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Bright for DGX Clusters

By Bill Wagner | April 30, 2019

At the 2019 GPU Technology Conference in March, NVIDIA Founder & CEO Jensen Huang positioned NVIDIA DGX servers at the intersection of scale-up and scale-out architectures, sitting squarely in the sweet spot of data science driven by the combination of increased concurrency of data science workloads and the massive compute requirements associated with those workloads.  As a standalone server, the DGX delivers a solid scale-up architecture for data/compute-intensive workloads, and NVIDIA’s announced acquisition of Mellanox with its high-speed interconnects will only enhance that position and help enable a new realm of scale-out architectures as well. 

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Why pay for a second monitoring solution when you can use Bright?

By Robert Stober | April 19, 2019

One of Bright Cluster Manager’s most popular features is its built-in monitoring system. It is lightweight and efficient, and it works right out of the box. But what people generally don’t know is that they can use Bright to monitor non-Bright nodes; nodes that were neither provisioned by, nor managed by, Bright. The Bright Lightweight CMDaemon can be used to monitor and healthcheck auxiliary servers that support the cluster but aren’t part of it, for example, database servers, authentication servers, and file servers.

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"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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