[Podcast] PodCTL #20 – Gathering Kubernetes Communities

[Podcast] PodCTL #20 - Gathering Kubernetes Communities

As we enter 2018, we know a few things about the Kubernetes community: It continues to grow larger each year, as evidenced by the growth of KubeCon. More companies are trying to run Kubernetes in production. More technology vendors are making Kubernetes a priority, and providing various levels of integration. More and more companies are […]

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How to use GPUs in OpenShift 3.6 (Still Alpha)

How to use GPUs in OpenShift 3.6 (Still Alpha)

Run general-purpose compute workloads on Graphics Processing Units (GPUs) with these instructions for using OpenShift 3.6 GPU support in Kubernetes. GPU support in Kubernetes remains in alpha through the next several releases. The Resource Management Working Group is driving progress towards stabilizing these interfaces.

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Jupyter on OpenShift Part 2: Using Jupyter Project Images

Jupyter on OpenShift Part 2: Using Jupyter Project Images

The quickest way to run a Jupyter Notebook instance in a containerised environment such as OpenShift, is to use the Docker-formatted images provided by the Jupyter Project developers. Unfortunately the Jupyter Project images do not run out of the box with the typical default configuration of an OpenShift cluster.

In this second post of this series about running Jupyter Notebooks on OpenShift, I am going to detail the steps required in order to run the Jupyter Notebook software on OpenShift.

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Jupyter on OpenShift: Using OpenShift for Data Analytics

Jupyter on OpenShift: Using OpenShift for Data Analytics

It is a commonly used catch phrase to say how ‘Software is Eating The World’ and how all companies are now software companies. It isn’t just the software that is important though, it is the data which is being generated by these systems. At the extreme end of the spectrum, companies can generate or collect quite massive data sets, and this is often referred to as the realm of ‘Big Data’.

No matter how much data you have, it is of no value if you don’t have a way to analyse the data and visualise the results in a meaningful way that you can act upon.

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