Create, reproduce, repeat and share efficiently!
Find tested models for fast and easy prototyping. Use prepared environments without any additional work and coordinate your ML activities with your team. Don´t loose track of progress through end-to-end reproducibility.
Streamlined collaboration and control
Use git as base to version your work and the publishing process to share ready-to-run modules with your team. This way, you will not loose track of your progress and distributed workflows become a reality in AI/ML.
- Iterative development using branches for each module
- Improve collaboration within your team
- Control and track your progress and work
A holistic and flexible ML development environment
Enjoy a holistic approach as you manage your data, run jobs and view execution logs, create and compare experiments while assessing performance on used resources. MLReef allows you to seamlessly track each step your development.
- Featuring data hosting and management
- Compare your experiments to track your progress in real-time
- Integrated budgets and reports
Fully customizable execution environments
Use a variety of customizable CPU & GPU based environments. Run them elastically on your infrastructure or directly on MLReef. Publishing your ML modules builds and stores the environment for future use.
- Run unlimited jobs in parallel
- Fully scalable and elastic computing environment
- Forget about DevOps setup & maintenance
