XenonStack Recommends

Managed Services for TensorFlow and Jupyter


Machine Learning Managed Services

TensorFlow is open-source software for numerical computation using data-flow graphs. Jupyter Notebook is used for Data Cleaning, transformation, Numerical Simulation, and Statistical Modeling.

  • xenonstack-gpu-cpu-computing

    GPU/CPU computing Solutions

  • xenonstack-statistical-distribution

    Statistical Distribution

  • xenonstack-high-level-estimators-services

    High-level Estimators

  • xenonstack-end-to-end-ml-1

    End-to-End ML Workflow Lifecycle Management

  • xenonstack-pipeline-automation-abilities-1

    Pipeline automation Abilities

  • xenonstack-machine-learning

    Machine Learning and Edge Computing

Statistical Distribution

Statistical distributions functions are provided by TensorFlow, including but not limited to distributions like Bernoulli, Beta, Chi2, Dirichlet, Gamma, Uniform, etc.


High-level Estimators

TF Learn is a top-level module inside TensorFlow that provides machine learning algorithms inside its estimator's module.


Streamlining Performance

TensorFlow has high standards for measurement and transparency. Optimization can often be model-specific, but some general guidelines can often make a big difference.


Manage ML Workloads

Manage and Optimize your Machine Learning and Artificial Intelligence workloads for Performance and Deployment.

Big Data Services




  • XenonStack Tick Bullet

    Managed Security

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      Basic Monitoring

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      24 x 7 Support




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    All Standard features

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      Managed Backup Full and Daily Snapshots

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      Managed Operating System Patches and Updates, Hardening, Configuration and Tuning




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    All Standard and Pro features

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      Application Monitoring and Response CPU, RAM, Disk IO, URL, and Application metrics

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      Advanced Enterprise Analytics and Dashboard

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