Amazon SageMaker vs Shadeform
Overview
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Detailed Comparison
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. | It has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. It guarantees inference and training jobs will run on time at optimal cost. |
Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support; Train: one-click training, authentic model tuning; Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling | One click deployment, any cloud;
Choose from an A10 to H100s for training and inference;
Be running in minutes;
No setup required |
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What are some alternatives to Amazon SageMaker, Shadeform?
NanoNets
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Inferrd
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GraphLab Create
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BigML
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Sportlingo
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Tinker
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AI Video Generator
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Azure Machine Learning
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Amazon Machine Learning
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Replicate
It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.
