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  • Dynamic, crash-proof AI orchestration with Flyte
    Flyte is an open-source workflow orchestration platform for building data, ML and analytics workflows with ease
  • Flyte - User guide | Union. ai Docs
    Flyte is a free and open source platform that provides a full suite of powerful features for orchestrating AI workflows Flyte empowers AI development teams to rapidly ship high-quality code to production by offering optimized performance, unparalleled resource efficiency, and a delightful workflow authoring experience
  • ImageSpec — Flyte
    ImageSpec allows you to customize the container image for your Flyte tasks without a Dockerfile ImageSpec speeds up the build process by allowing you to reuse previously downloaded packages from the PyPI and APT caches
  • Running and scheduling workflows — Flyte
    Flyte supports the development and debugging of tasks and workflows in a local setting, which increases the iteration speed of building out your data- or machine-learning-driven applications
  • Flytekit SDK | Union. ai Docs
    Flytekit SDK These are the Flytekit SDK API docs Flytekit is the core Python SDK for the Union and Flyte platforms Developing on Flyte For developing on the Flyte platform you need to add the flytekit package to your project:
  • Flyte for Machine Learning • House all your ML orchestration needs
    Flyte lets you serialize your models and store them on cloud so you can associate them with different versions of your runs Track the lineage of all your ML experiments and those of your team members, and rerun them as needed for reproducibility
  • Pyflyte CLI — Flyte
    Print out information about the current Flyte Python CLI environment - like the version of Flytekit, the version of Flyte Backend Version, backend endpoint currently configured, etc
  • Registering workflows — Flyte
    In this guide, you learned about the Flyte demo cluster, Flyte configuration, and the different registration patterns you can leverage during the workflow development lifecycle


















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