# Workload API
URL: https://docs.datarobot.com/en/docs/api/dev-learning/workload-api/index.html

> Deploy AI workloads on DataRobot using a unified compute abstraction for containerized services.

# Workload API

The Workload API provides a unified compute abstraction for running AI workloads on DataRobot. Use it to deploy containerized applications, agents, and inference services with governance, versioning, and observability built in.

> [!NOTE] Private preview
> The Workload API is available as a private preview. API version: v2.41.

## Documentation overview

| Topic | Description |
| --- | --- |
| Overview | Core concepts, object model, and how components work together . |
| Getting started: Run a test container | Deploy your first container using the Workload API. |
| Tutorials | Step-by-step guides: deploy production-ready artifact, iterate then deploy. |
| Monitoring and observability | OpenTelemetry integration, metrics, logs, and traces. |
| Best practices and troubleshooting | Container design, production deployments, and common issues. |
| API reference | REST API endpoints, schemas, and HTTP status codes. |

## Quick links

- Workloads — /api/v2/console/workloads/
- Artifacts — /api/v2/registry/artifacts/
- Deployments — /api/v2/console/deployments/
- Workload invoke — /api/v2/endpoints/workloads/{workloadId}/
- Deployment invoke — /api/v2/endpoints/deployments/{deploymentId}/

---
