What ML platforms offer integrated CI/CD pipelines for continuous deployment?

ML Forum
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These platforms support versioning, automated retraining, model testing, and scalable deployment workflows within MLOps environments.

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Tools like AWS SageMaker, Google Vertex AI, Databricks, and Azure ML provide built-in CI/CD for models. They automate data prep, training, model registry, and deployment pipelines. These platforms ensure updates move smoothly from experimentation to production while maintaining traceability and performance monitoring.

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Kubernetes-based platforms such as Kubeflow, MLflow + GitHub Actions, and ZenML enable open MLOps workflows. They integrate with monitoring tools like Prometheus and ML observability stacks, allowing frequent and safe deployments across teams.

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