Integrations#

Determined seamlessly integrates with popular ML ecosystem tools to enhance your model training workflow. From data transformation to monitoring and alerting, our integrations help streamline your ML pipeline.

Key Integrations#

  • Data Transformation: Integrate with tools like Pachyderm to streamline your data preprocessing.

  • Development Environments: Use Determined shells in popular IDEs, similar to remote SSH hosts. Learn more at IDEs.

  • Workload Alerting: Set up Workload Alerting through webhooks to stay informed about your experiments in real-time. For a comprehensive overview of notification options, see Notifications.

  • Monitoring: Enable Grafana dashboards to monitor hardware and system metrics on cloud clusters. See Prometheus & Grafana for details.

Getting Started#

To make the most of these integrations, we recommend using the Python SDK Client Module Reference to interact with Determined.

Explore More#

Visit our Works with Determined repository for examples of using Determined with various ML ecosystem tools, including:

  • Pachyderm

  • DVC

  • Delta Lake

  • Seldon

  • Spark

  • Argo

  • Airflow

  • Kubeflow

These examples demonstrate how Determined can enhance your existing ML workflows and tools.