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Wallaroo Introduces Free Community Edition to Democratize Production Machine Learning

Free version of Wallaroo’s solution makes deploying, observing, and managing ML models in production faster and simpler for organizations of all sizes.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Wallaroo Labs has launched Wallaroo CE, the free community edition of its enterprise product that helps teams accelerate and simplify the deployment and operations of machine learning (ML) models and pipelines in production.

For too long, the perception has been that scaling ML required unlimited resources or specific skills and expertise for data scientists and ML engineers. Wallaroo helps teams of all sizes and skill levels get started with AI/ML, streamline their machine learning operations (MLOps), and realize the ROI in AI with speed and efficiency.

“Some of the largest enterprises in the world have been using Wallaroo to deploy, run, and observe their ML models in production at scale. Now we want to put Wallaroo into the hands of as many data scientists and ML engineers as possible,” said Vid Jain, Wallaro’s CEO and founder. “Machine learning has the potential to be transformative for a wide range of businesses and organizations but, until now, the hurdles of going from pilot project to production have prevented many organizations from reaping the benefits. Our Community Edition product finally puts ML within reach for just about any organization or ML professional.”

Wallaroo CE is simple to install and configure in any major cloud and offers the full deploy/run/observe capabilities of Wallaroo Enterprise Edition for up to five active deployments for up to five users. It includes:

  • A self-service toolkit to deploy ML pipelines and run inferencing
  • Model management and collaboration features
  • Model performance metrics and advanced experimentation
  • A modern, fast inference engine
  • Up to 32 CPUs of computing power to consume for inferencing
  • Up to five active ML deployments
  • Access to the Wallaroo Community Slack for support

To start using Wallaroo Community Edition, visit To learn more about Wallaroo, visit

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