# Model Deployment

Generally, AI model deployment and large-scale implementation are complex.

ModelArts resolves this issue by deploying a trained model on different devices in various scenarios with only a few clicks. This secure and reliable one-stop deployment is available for individual developers, enterprises, and device manufacturers.

Figure 1 Process of deploying a model

- The real-time inference service features high concurrency, low latency, and elastic scaling.
- Models can be deployed as real-time inference services and batch inference tasks.

Parent topic: Basic Knowledge