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Iguazio Community Edition

By: Iguazio Latest Version: MLRun Kit 0.1.11
Linux/Unix
Linux/Unix

Product Overview

The Iguazio Data Science & MLOps Platform provides a complete data science workflow in a single ready-to-use platform that includes all the required building blocks for creating data science applications from research to production:

  • Collect, explore, and label data from various real-time or offline sources.
  • Run ML training and validation at scale over multiple CPUs and GPUs.
  • Deploy models and applications into production with serverless functions.
  • Log, monitor, and visualize all your data and services.

The seamless integration between Iguazio and AWS provides data scientists with the benefits of automating and accelerating deployment of AI. Data Scientists have the following options:

  1. Develop models the Iguazio Data Science platform and deploy them on AWS cloud or Outposts for a fully hybrid experience
  2. Develop models on SageMaker and deploy them quickly and at scale on the Iguazio Data Science platform on AWS

The Iguazio Community Edition includes:

  • Single pane of glass for managing projects
  • Git integration
  • Built-in Jupyter service
  • Artifacts management
  • Pipelines management
  • Serverless function for running models (nuclio)
  • Canary rollout
  • Offline features for training

The Iguazio Enterprise offering is available via private offers. Contact Iguazio_AWS_Marketplace@iguazio.com for a private offer. The enterprise offering includes:

  • Online feature store
  • Model monitoring & drift detection
  • Built-in real-time multi-model data engine (key-value, time-series database, built-in-object store)
  • Project resource management
  • Built-in services (Spark, Presto, Grafana, Dask, Horovod etc.)
  • LDAP integration
  • User(s) & group management
  • Service authentication & authorization
  • Secured authentication for API gateway
  • 24/7 enterprise support
  • Service monitoring
  • Events, alerts & audit

Version

MLRun Kit 0.1.11

By

Iguazio

Operating System

Linux

Delivery Methods

  • Container

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