OpenStack + AWS, HPC(aaS) and GPUs: A Pragmatic Guide

By Lionel Gibbons | June 01, 2017

Remember the feeling you had when you first learned to drive a car? Everything was new to you. Sure, you knew what a steering wheel was, and what each pedal was for, but you had to learn how much steering input you could safely use at different speeds. Discovering just how much clutch and throttle was needed to get rolling without stalling doesn’t come easily to most people. And I’ll bet figuring out how hard (and how soon) to press the brake pedal as you came up behind another car at a stoplight created a few anxious moments for you and your instructor. But what does this have to do with managing clusters? In many ways, learning how to drive a cluster is much like learning to drive a car. At first, it can seem overwhelming, but once you master the individual skills, you can use them together to create a genuinely exciting experience.

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Bright Exhibits at GPU Technology Conference

By Bright Staff | May 04, 2017

Bright Computing will be exhibiting at the GPU Technology Conference (GTC 2017) being held May 9-11 at the San Jose Convention Center, and we expect it to be an exciting event!

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Setting up GPU Hypervisors on OpenStack

By Ahmed Mostafa | January 05, 2017

At Bright, we have our own private cloud based on Bright OpenStack. We use it to run R&D, dev, and QA workloads for our engineering teams. 

One of the ways we use it is to test the GPU integration of our cluster management software. To do this, we need to expose the GPUs to the VMs via PCI-passthrough. That’s the easy part.

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Bright Technology Partner, NVIDIA, Simplifies Cluster Administration with New Data Center GPU Manager

By Lionel Gibbons | August 11, 2016

If you follow Bright, it won’t come as a surprise to you that we’re big fans of GPU-accelerated data centers. Bright Cluster Manager has shipped with built-in support for NVIDIA GPUs right from the start. So we are very excited to bring your attention to something new from NVIDIA: NVIDIA Data Center GPU Manager (DCGM).

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How to Easily Deploy and Manage Machine Learning Libraries and Tools

By Panos Lampropoulos | April 05, 2016

In recent years, the focus of big data analytics has shifted from simple statistical inference to sophisticated Machine Learning algorithms. Machine Learning (ML) can be understood as a set of analytical tools that collectively derive a model based on a set of observations.  Simple data modeling is now deemed insufficient because it is based on examining trends in data, but often ignores subtle features and can cause data analysts to miss the “big picture”.

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My 2-Minute Drill at the Rice Oil and Gas HPC Workshop: Spark’ing Possibilities for Energy Exploration and Other Industries

By Ian Lumb | April 01, 2015

Spark'ing Scope Creep

I had the fortunate opportunity to present in the disruptive-technology track at the 2015 Rice Oil and Gas HPC Workshop during the first week of March. What I presented during my two-minute drill in this session ended up being much more disruptive than I anticipated.

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0-Day Support for the NVIDIA® Tesla® K80 Dual-GPU Accelerator

By Ian Lumb | November 17, 2014

The NVIDIA® Tesla® K80 Dual-GPU Accelerator was announced at 6 am PST today at SC14 in New Orleans. Bright Computing announced support for the K80 an hour later. How did we deliver 0-day support for the K80? Easy: People. Product. Process. We’ll briefly cover The 3Ps here, so you’ll understand why your K80s will be ready for production use upon arrival. 

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The Top 4 Reasons You Should Try Cloud-Based GPUs for HPC

By Ian Lumb | April 08, 2014

Have you tried cloud-based GPUs for HPC? If not, here are the top four reasons you might want to.

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How to Submit a Simple Slurm GPU job to your Linux cluster

By Robert Stober | February 18, 2013

This article shows you how to submit a simple Slurm GPU job to your local cluster using Bright Cluster Manager. Dead easy.

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