One-Click MLOps Platform Sandbox with ZenML, MLflow, Kubeflow and MinIO
Founder of ZenML here, the company behind the sandbox service. We created the MLOps Platform Sandbox to give ML and MLOps Engineers the ability to pick and choose their preferred infrastructure and tooling to build a platform that fulfills their company’s needs. 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,…
What it does
In the maker’s words, at launch
Founder of ZenML here, the company behind the sandbox service. We created the MLOps Platform Sandbox to give ML and MLOps Engineers the ability to pick and choose their preferred infrastructure and tooling to build a platform that fulfills their company’s needs. 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!
Does the same job
all alternatives →
- ZPZenML – Portable, production-ready MLOps pipelines2022 · github.com · ▲5
- ZEZenML, extensible open-source MLOps framework for reproducible ML2020 · github.com · ▲37
- MSMagic Sandbox – hands-on Kubernetes training on real infra2019 · msb.com · ▲180
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