Can you build a Big Data/High Performance Computing (HPC) platform on Kubernetes?
Here are some open-source projects that will get you started.
https://t.co/KmuLBgArZi
#mlops#kubernetes#bigdata#hpc
What is cloud-agnostic AI? How does Kubeflow help bring AI into the cloud native landscape...and could it be improved?
Read some of our thoughts in the Treebeard March Update
https://t.co/hrXhspEsiR
#kubecon#kubeflow#cncf
Kubecon EU is this week! What are your favourite Kubeflow developments?
We're biased, because we've just released kubeflow-helm, giving engineers a "1-click" Kubeflow installation
https://t.co/4UsdsYVgxW
#kubeflow#kubecon#mlops
It uplifts your soul to be part of @raydistributed team whose enduring commitment to make it better, with release of #Ray, is being used for a good cause in healthcare
@davidpratten hi @davidpratten, that sounds like a good feature request! Could you share an example notebook with us on GitHub for this use case, so we can figure out the incremental work?
https://t.co/bIaADAci9W
I've just released pytest-deepcov! It's a unique alternative to a debugger for when a bunch of tests fail at once. Feedback welcome https://t.co/sjUmVhP8n1
New from treebeard, with a more sensible name:
nbmake tests notebooks in parallel and enables fast building of big jupyter books/nbsphinx docs
https://t.co/Ls2c0c67yw
We've just released treebeard 0.1.1.
With 1 line of config treebeard can catch errors in your repo's notebooks and list missing requirements.
https://t.co/PnYgBFEwp7