Arrikto is a core contributor to the Kubeflow project, mainly in the areas of data management and UX. Kubeflow is very popular among data scientists and is dedicated to making deployments of machine learning (ML) workflows and overall MLOps on Kubernetes simple, portable and scalable. Data scientists use their laptop a lot! The vast majority of data science exploration and experimentation starts there. So, the more we interacted with the Kubeflow community, the more it became clear that we needed a way to make Kubeflow easily accessible.
That’s why during Kubeflow Day LA at SCaLE 17x we announced the launch of MiniKF, a production-ready, full-fledged, local Kubeflow deployment that installs in minutes. Here is the official announcement and why we started MiniKF.
MiniKF is the fastest and easiest way to get started with Kubeflow. With just a few clicks, you are up for experimentation, and for running complete Kubeflow Pipelines. To train at scale, you can move to a Kubeflow cloud deployment with one click, without having to rewrite anything. MiniKF runs on all major operating systems and it installs with just two commands.
Visit the MiniKF page and get started with Kubeflow today!
Here is a short demonstration video of installing MiniKF from scratch: