Google AI Platform vs Jelastic

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Google AI Platform
Google AI Platform

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Jelastic
Jelastic

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+ 1
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Google AI Platform vs Jelastic: What are the differences?

Developers describe Google AI Platform as "Create your AI applications once, then run them easily on both GCP and on-premises". 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. On the other hand, Jelastic is detailed as "Java and PHP Cloud Hosting". Jelastic is the next generation of Java hosting platforms which can run and scale ANY Java application with no code changes required.

Google AI Platform belongs to "Machine Learning as a Service" category of the tech stack, while Jelastic can be primarily classified under "Platform as a Service".

Some of the features offered by Google AI Platform are:

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow

On the other hand, Jelastic provides the following key features:

  • Set up environment in seconds
  • No installation or configuration
  • No APIs to code to
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What is 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.

What is Jelastic?

Jelastic is the next generation of Java hosting platforms which can run and scale ANY Java application with no code changes required
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        What are some alternatives to Google AI Platform and Jelastic?
        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.
        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.
        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.
        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.
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        How developers use Google AI Platform and Jelastic
        Avatar of BrightMachine
        BrightMachine uses JelasticJelastic

        Host the majority of our websites. Great pricing, and a great tech model.

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