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Canonical/Ubuntu: Kubernetes, RAPIDS, and Selling Out Some More to Microsoft

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  • How to choose the best enterprise Kubernetes solution

    While containers are known for their multiple benefits for the enterprise, one should be aware of the complexity they carry, especially in large scale production environments. Having to deploy, reboot, upgrade or apply patches to patches to hundreds and hundreds of containers is no easy feat, even for experienced IT teams. Different types of Kubernetes solutions have emerged to address this issue.

    However, navigating these solutions to pick the right one is often challenging, as there is no true ‘one size fits all’ . Each route you take to adopting Kubernetes comes with its pros and cons; this gets even trickier when you consider that what might be a deal breaker for one organisation, might not be an issue for another, depending on each business’s specific profile.

    So before we dive into the challenges and solutions of each type of Kubernetes, let’s explore some of the key considerations for businesses, that will impact which Kubernetes approach is most suitable to their needs.

  • Ubuntu for machine learning with NVIDIA RAPIDS in 10 min

    If you just want a tutorial to set up your data science environment on Ubuntu using NVIDIA RAPIDS and NGC Containers just scroll down. I would however recommend reading the reasoning behind certain choices to understand why this is the recommended setup.

    Cloud or local setup

    Public clouds offer a great set of solutions for data professionals. You can set up a VM, container, or use a ready-made environment that presents you with a Jupyter notebook. They are also great in terms of productizing your solution and exposing an inference endpoint. Nevertheless, every data scientist needs a local environment.

    If you are starting your career it’s better to understand exactly how all the pieces are working together, experiment with many tools and frameworks, and do it in a cost-effective way.

    If you are an experienced professional you will always meet a customer which cannot put their data on a public cloud, ie. for compliance or regulatory reasons.

    Additionally, I like to be able to take my work with me on a trip, and sometimes I’m not within range of a fast internet connection. Having your own machine makes a lot of sense.

  • Announcing Ubuntu on Windows Community Preview – WSL 2 [Ed: Canonical and Ubuntu remind you that they (also) work for Microsoft and for Windows [1, 2] (WSL is an attack on GNU/Linux!)]

    We are thrilled to release the Ubuntu on Windows Community Preview, a special build of Ubuntu for the Windows Subsystem for Linux (WSL) that serves as a sandbox for experimenting with new features and functionality. Over the past year, we have proudly hosted two WSL conferences known as WSLConf. WSLConf was initially intended to be an event where the early adopters of WSL could share best practices. As interest and engagement spread, the now global conference has turned into a hub for innovation, collaboration, and ideas. The new Ubuntu on Windows Community Preview is our way of thanking the community and providing a space for us to collectively shape the future of Ubuntu on WSL.

  • Ubuntu on Windows Community Preview is a special sandboxed build for testing new features on Windows Subsystem for Linux (WSL) [Ed: Microsoft boosters are very happy about this because it's all about Microsoft dominating GNU/Linux]
  • Canonical Releases "Ubuntu on Windows Community Preview"

    Canonical today announced the release of the "Ubuntu on Windows Community Preview" as a specialized build of Ubuntu catering to Microsoft's WSL2.

Canonical doing 'ads' for Windows

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