AutoML
Auto ML training and deployment.
Myelin is a Kubernetes native end to end machine learning framework. It enables data scientists and machine learning engineers to train, deploy and monitor machine learning models.
Myelin is designed from the ground up to run on Kubernetes.
Machine learning deployments are monitored and restored if their performance deteriorates.
Myelin provides tools to train, deploy and monitor your algorithm.
Myelin was inspired by the philosophy of Kubernetes, where the user describes the desired state of a machine learning deployment and Myelin works out the best way to achieve that state.
In a simple case, the desired state might include a single model that is trained and deployed, serving accurate predictions. When the model performance drops, Myelin retrains the model and replaces the inaccurate one.
Myelin is designed to manage machine learning deployments without human intervention.
Myelin covers a wide range of scenarios to allow users to express the desired state of complex deployments.
Auto ML training and deployment.
Automated Model Deployment, SSL, Authentication, Model Graph.
Distributed Hyperparameter tuning using state of the art optimisation algorithms.
Distributed training.
Cloud native Infrastructure Provisioning.
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Would you like to know more about the product or interested in seeing our demo? We will get back to you as soon as possible.
Please provide us your details and we'll issue a licence to try Myelin. This licence allows the user to try all functionalities for 30 days, restricted to 5 axons per deployment.