Amazon Elastic Inference vs. Azure Machine Learning
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Amazon Elastic Inference | N/A | N/A | Amazon Elastic Inference allows users to attach just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance, Amazon SageMaker instance, or ECS task. Users pay for the accelerator hours used. It is designed to be used with AWS’s enhanced versions of TensorFlow Serving, Apache MXNet and PyTorch, which automatically detect the presence of inference accelerators, and optimally distribute the model operations between the accelerator’s GPU and the instance’s CPU. | N/A |
 Azure Machine Learning | Score8.2 out of 10 | N/A | Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench. | $0 per month |
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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| Amazon Elastic Inference | Azure Machine Learning | |
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| Likelihood to Recommend | - | 8.0 |
| Likelihood to Renew | - | 7.0 |
| Usability | - | 7.0 |
| Support Rating | - | 7.9 |
| Implementation Rating | - | 8.0 |