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AWS brings managed open source MLflow to Amazon SageMaker


Popular open source MLflow technology for MLops comes to Amazon SageMaker to help accelerate AI workflows.

Hundreds of thousands of customers are using Amazon SageMaker for tasks like training popular gen AI models and deploying machine learning workloads. “Given the current pace of innovation in the space, our customers are looking to move quickly from experimentation to production, and really accelerate time to market,” Ankur Mehrotra, director and general manager of Amazon SageMaker at AWS told VentureBeat. By offering MLflow as a fully managed service tightly coupled with SageMaker, AWS aims to provide an integrated experience leveraging the capabilities of both platforms.

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