Wallaroo Community Edition is Here!

Wallaroo.AI
2 min readApr 18, 2022

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 get Wallaroo into the hands of as many folks as possible. That’s why we are extremely happy to announce a free version of Wallaroo aimed at the Machine Learning and Data Science community at large with the launch of our Community Edition (Wallaroo CE).

Sign up to get started on using the open beta for the Community Edition.

Wallaroo CE is aimed at those looking to speed up and simplify the deployment and management of ML models and pipelines. This can be everyone from a small ML team, Open Source projects, or just those wishing to learn MLOps with hands-on experience.

We’re really proud of what we’ve built and we’d like you to be one of the first to try it.

With the Community Edition of Wallaroo you get:

  • Simple install and configuration of Wallaroo in any major cloud
  • Self-service toolkit to deploy ML pipelines and run inferencing
  • Model management and collaboration features
  • Model performance metrics and advanced experimentation
  • A modern, ultrafast inference engine
  • Up to 32 CPUs of compute for inferencing
  • Up to 5 active deployments for up to 5 users
  • Access to the Wallaroo Community Slack for support

What you don’t get with the Community edition (but comes with the Enterprise Edition):

  • Enterprise SSO, User administration, and role based access controls
  • Advanced model observability (monitoring, explainability, troubleshooting)
  • Auto-scaling, unlimited scale and unlimited active users
  • On-premise and edge deployments
  • Enterprise support, including enterprise data integration

Need more info? Get started with Wallaroo 101. Then make sure to sign up below to start using Wallaroo CE! Once you get access, we’ll help you with any questions or issues that arise.

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Wallaroo.AI

90% of AI projects fail to deliver ROI. We change that. Wallaroo solves operational challenges for production ML so you stay focused on business outcomes.