SavviHub is the platform for machine learning researchers and data scientists to run an experiment on the Kubernetes cluster easily. SavviHub helps to import source code from the git provider and to retrieve the dataset from local disk or cloud vendors. The experiment runs on various types of Kubernetes clusters, and the experiment results are handled (view/export/service) on SavviHub.
Sign up and create an organization on SavviHub.
Create a new project and import the source code from the git provider on SavviHub.
Retrieve the dataset from the local disk or cloud vendors on SavviHub.
Run a machine learning experiment on the Kubernetes cluster without configuration on SavviHub.
Examine the training results of experiments on SavviHub. Go to the experiment results page to learn how to analyze the results.
Manage your SavviHub resources with SavviHub Command-Line Interface(CLI), SavviHub Client. Go to the SavviHub Client page to learn how to use it.