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2025-12-18 04:25:53
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Simplifying Machine Learning Model Deployment 🚀 MLEM now offers deployment to Kubernetes and Sagemaker with a single command. by iterative.ai Docs Blog Course Other Tools Studio Track experiments and share insights from ML projects DVC Open-source version control system for ML projects VS Code Extension Local ML model development and experiment tracking CML Open-source CI/CD for ML projects MLEM The open-source tool to simplify your ML model deployments Go to MLEM github repo Go to DVCorg Youtube Go to DVC Discord Get Started The open-source tool to simplify your ML model deployments _ Save your ML model with a Python call. Stick to your training workflow. Model metadata is captured automatically. Use a human-readable YAML format for any ML framework. Deploy models anywhere you want. Switch between deployment platforms with a single command. Make Git a Model Registry MLEM is a core building block for Git-native ML model registries, ...
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