

in this article we will explain in more detail the differences between Slurm, Kubernetes and UbiOps.
In this blog post we will give you an overview on how to create a training job and run it in the cloud using UbiOps. This structure can be used for pretty much all frameworks like Tensorflow, Keras, Pytorch, Scikit Learn and others.
Building a machine learning model is great, but turning it into a live web application is a whole other story. Things like security, scalability, monitoring API management, and shareability all…
MLOps (Machine Learning Operations) is the set of practices, processes and principles that help us in deploying, running and maintaining machine learning algorithms at scale in live production environments.
It can be quite confusing keeping track of what all these different pipelines are and how they differ from one another. In this article, we will map out and compare a few common pipelines, as well as clarify where UbiOps pipelines fit in the general picture.