MLEM now offers deployment to Kubernetes and Sagemaker with a single command.
MLEM is a tool to easily package, deploy and serve Machine Learning models. It seamlessly supports a variety of scenarios like real-time serving and batch processing.
When combined with GTO, MLEM allows you to create a powerful Model Registry out of your Git repository! Such a registry serves as a centralized place to store and operationalize your models along with their metadata; manage model life-cycle, versions & releases, and easily automate tests and deployments using GitOps.
✅ Please join our community or use the support channels if you have any questions or need specific help. We are very responsive ⚡.
✅ Check out our GitHub repository and give us a ⭐ if you like the project!
✅ Contribute to MLEM on GitHub or help us improve this documentation 🙏.