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mei118

Re:Deploy your ML models in 10 mins on Thursday August 29, 2019 @11:31PM (#20835766)
If you're talking about deployment concept, yes. But we strictly focus on model deployment, while Sagemaker stretches to other aspects like training and tuning models.

Two things I think we can "beat" SageMaker: - Pipeline (workflow) visualization - Use of cross-platform servers. As far as I know, you can only use AWS with Sagemaker?

Other than that, we're still thinking of how to compete with Sagemaker in terms of deployment capability so if you have any ideas, please share with us.

Re:Deploy your ML models in 10 mins on Thursday August 29, 2019 @11:01PM (#20835635)
hey reggiepret, I'm one of Podder's makers. Thank you for your interest.

Please visit our website https://podder.ai/ and sign up for a CLI demo there. Waiting for you!