Amazon Elastic Inference vs Lateral

Overview

Lateral

Stacks3

Followers16

Votes0

Amazon Elastic Inference

Stacks45

Followers56

Votes0

Amazon Elastic Inference vs Lateral: What are the differences?

Developers describe Amazon Elastic Inference as "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. On the other hand, Lateral is detailed as "The ultimate API for recommending your content". Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.

Amazon Elastic Inference and Lateral can be primarily classified as "Machine Learning as a Service" tools.

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Detailed Comparison

Lateral	Amazon Elastic Inference
Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.	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.
Statistics
Stacks 3	Stacks 45
Followers 16	Followers 56
Votes 0	Votes 0
Integrations
No integrations available	TensorFlow Amazon EC2 Amazon SageMaker

What are some alternatives to Lateral, Amazon Elastic Inference?

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GraphLab Create

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BigML

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Tinker

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Amazon SageMaker

A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

Azure Machine Learning

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