📄️ User Management
User management involves each aspect of defining and managing users, roles and their permissions.
📄️ Dataset Management
Training data is the data used to train a model or algorithm. This training data can be uploaded to and managed in navio as datasets. The training dataset can either be uploaded together with the model (packaged in the model archive) or uploaded separately. Datasets are shared across an entire workspace.
📄️ Data Labeling
navio provides an integrated data labeling workflow that lets you review and correct model predictions and use the resulting labels to continuously improve your models through retraining.
📄️ Model Management
Models uploaded to navio are managed on a use case level. Each workspace can contain multiple use cases.
📄️ Deployment Management
Deployments make your models available to the outside world. Like models, deployments are managed per use case: the Deployments view shows all deployments of a use case.
📄️ Traffic Orchestration
Traffic orchestration lets you control which models serve the prediction traffic of a deployment. It enables you to:
📄️ Monitoring
A deployed model can be monitored by the user for data outliers, performance issues and to see the current usage of the model. Each deployment has its own monitoring view.
📄️ Try Out View
The try out view is used for evaluating a model before deploying it and integrating it into external systems.
📄️ GPU Support
See the GPU Models guide for more information.
📄️ navio API
The navio API allows you to interact with navio programmatically via a REST API. This enables you to integrate navio into an existing workflow or pipeline so you don't need to use the user interface to upload, deploy or retrain models.