Amazon Elastic Inference vs GraphLab Create

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Amazon Elastic Inference

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GraphLab Create

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Amazon Elastic Inference vs GraphLab Create: What are the differences?

Amazon Elastic Inference: GPU-Powered Deep Learning Inference Acceleration. Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon; GraphLab Create: Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale. Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

Amazon Elastic Inference and GraphLab Create can be categorized as "Machine Learning as a Service" tools.

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Pros of Amazon Elastic Inference
Pros of GraphLab Create
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      Intelligent Function Defaults
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      Fast Data Summary
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      Simple Machine Learning Tools

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    What is Amazon Elastic Inference?

    Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.

    What is GraphLab Create?

    Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

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      What tools integrate with Amazon Elastic Inference?
      What tools integrate with GraphLab Create?
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