Algorithms.io vs Amazon Elastic Inference

Algorithms.io

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Amazon Elastic Inference

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Algorithms.io vs Amazon Elastic Inference: What are the differences?

Algorithms.io: Machine learning as a service for streaming data from connected devices. Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables; 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.

Algorithms.io and Amazon Elastic Inference can be categorized as "Machine Learning as a Service" tools.

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What is Algorithms.io?

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables

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 companies use Algorithms.io?
What companies use Amazon Elastic Inference?

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What tools integrate with Algorithms.io?
What tools integrate with Amazon Elastic Inference?
    No integrations found
    What are some alternatives to Algorithms.io and Amazon Elastic Inference?
    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
    Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
    Amazon Machine Learning
    This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
    NanoNets
    Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
    Google AI Platform
    Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
    See all alternatives
    Interest over time
    How much does Algorithms.io cost?
    How much does Amazon Elastic Inference cost?
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