This is the Windows app named Kubeflow to run in Windows online over Linux online whose latest release can be downloaded as kfctl_v1.0-0-g94c35cf_linux.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Kubeflow to run in Windows online over Linux online with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
Kubeflow to run in Windows online over Linux online
DESCRIPTION:
Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container.Wherever you may be running Kubernetes, you can run Kubeflow as well.
Features
- Includes services to create and manage interactive Jupyter notebooks
- TensorFlow model training - provides a custom TensorFlow training job operator that you can use to train your ML model
- Model serving - supports a TensorFlow Serving container to export trained TensorFlow models to Kubernetes
- Pipelines - comprehensive solution for deploying and managing end-to-end ML workflows
- Multi-framework - various integrations and extended support
This is an application that can also be fetched from https://sourceforge.net/projects/kubeflow.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.