Create, reproduce, repeat and share efficiently!
Create and publish AI Modules within CI/CD-based workflows. Share your work to create a re-usable ML knowledgebase for fast 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 version control to track and manage your code. A simple to use publishing process converts your code into ready-to-run modules. This way, you will not lose track of your progress and distributed workflows will become a reality in AI/ML.
- Source code repository to track any changes
- CI/CD based pipelines and workflows
- Automated containerization of scripts
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 of your development.
- Store and manage your data in one place
- Track experiments and store model artifacts
- Highly interactive and easy data pipelining
Fully customizable 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