Deploy custom ML models to isolated containers behind REST APIs.

Modelbit

Deploy custom ML models to isolated containers behind REST APIs.

Live preview
In any Python environment, Modelbit lets you deploy any ML model to an isolated container behind a REST API. Deployed models have access to on-demand compute (CPU and GPU). Modelbit is backed by your Git repo, so everything you deploy is automatically versioned.

Classified in

  • Modelbit
  • Modelbit
  • Modelbit

Comments, support and feedback

  • Allan Campopiano
    a month ago

    When we talk internally about a tool that embodies excellent software engineering, we talk about Modelbit. Great folks to work with and great product.

  • Jimmy Marsanico
    a month ago

    ModelBit is one of the tools we, at Prescient AI, absolutely swear by. Not only is the tool powerful and scalable — allowing us to go from prototype to production scale in minutes — you couldn’t get a nicer set of individuals who work there. 🙌🏼

  • Briton Demars
    a month ago

    I was amazed at how easy it was to integrate our scripts and notebooks into Modelbit's software. And the team is incredibly responsive and great to work with! Excited to see Modelbit on DevHunt!

About this launch

Modelbit was launched by Michael Butler in March 19th 2024.

  • 35
    Upvotes
  • 3768
    Impressions
  • #4
    Week rank

Trending launches