Deploying a rudimentary MLOps platform can be time-consuming for new users. The MLOps Platform Sandbox bridges this gap by providing a one-click deployment platform for a pre-built ephemeral MLOps stack, simplifying the deployment process.
For now, you can create a sandbox for 8 hours with a stack made up of ZenML, Kubeflow, MLflow, and Minio Bucket. We plan to expand it to other services like BentoML, Seldon, and other MLOps tools in the future.
The Sandbox comes with pre-built example pipelines that you can run and try out. It provides a seamless experience for you to experiment with these tools without worrying about infrastructure setup and management.
Looking forward to the HN's communitys feedback!
No comments yet.