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Kubeflow news

Your weekly update of curated kubeflow news from across the web.

Digest #2019.07.29 – Kubeflow Releases so far (0.5, 0.4, 0.3)

29 July 2019

  • Kubeflow 0.5 simplifies model development with enhanced UI and Fairing library – The 2019 Q1 release of Kubeflow goes broader and deeper with release 0.5. Give your Jupyter notebooks a boost with the redesigned notebook app. Get nerdy with the new kfctl command line tool. Power to the people – use your favourite python IDE and send your model to a Kubeflow cluster using the Fairing python library. More training tools added as well, with an example of XGBoost and Fairing.
  • Kubeflow 0.4 Release: Enhancements for Machine Learning productivity – The 2018 Q4 release will supercharge your productivity! Fairing, a python library to keep you in python code, hits alpha. Katib – the necessary hyperparameter tool for production ready models – adds support for TFjob. Jupyter notebook CRD – you can create a notebook from the command line. Kubeflow Pipelines! With pipelines, you can codify your workflows, removing boilerplate drudgery, adding hours back to your life every week.
  • Kubeflow 0.3 Simplifies Setup & Improves ML Development – The 2018 Q3 release (see the pattern with releases?) sees the beginning of expanded options for training and serving. Kubeflow PyTorch and Chainer CRDs expand the model training options. Katib, hits alpha. Kubebench, a too for benchmarking, will assist you in assessing your hardware. Tensorflow Data Validation, part of TFX, added to Kubeflow Jupyter images. Model serving improvements through TF Serving and Nvidia’s TensorRT Inference Server
  • Use Case Spotlight: AI in medicine – deriving intelligence from a sea of data – This article shows the power of what one person with passion can do to make an impact. Read this inspiring article about how an AI expert took on his toughest project ever: writing code to save his son’s life.




Digest #2019.07.22 – Kubeflow and Conferences, 2019

22 July 2019

  • Kubeflow at OSCON 2019 – Over 10 sessions! Covering security, pipelines, productivity, ML ops and more. Some of the sessions are led by end-users, which means you’ll get the real deal about using Kubeflow in your production solution
  • Kubeflow at KubeCon Europe 2019 in Barcelona – The top Kubeflow events from Kubecon in Barcelona, 2019. Tutorials, Pipelines, and Kubeflow 1.0 ruminations. The discussion on when Kubeflow will reach 1.0 should be of interest to those waiting for that milestone.
  • Kubeflow Contributor Summit 2019 – Presentations and Slide decks, 22+ of them. Reviewing them will help you understand how the sausage is made. One of the interesting videos focuses on a panel discussion with machine learning practitioners and experts discussing the dynamics of machine learning at their workplace.
  • Kubeflow events calendar – Find a past or future event. This is a great resource for reviewing content from community leaders and leveling up on the current state of Kubeflow. If you are aware of something that is missing, feel free to add the content through github – become a community member! 
  • Use Case Spotlight: IBM’s photo-scraping scandal shows what a weird bubble AI researchers live in. This bubble is all about data – who owns it, who can monopolize it, who is monetizing it, and what the expectations around it. The expectations is the crux of the issue – people using the data may be at odds with the people supplying the data.
XKCD #1838