Deployments

Note: Although the video above showcases an older version of our UI, it still accurately illustrates how to deploy models on our platform.

A deployment is a configuration that defines how a model runs on a specific nodepool. It serves as the bridge between your model and the underlying hardware.

In advanced use cases, a single model can be deployed across multiple nodepools to optimize for different workloads or performance needs.

📄️ Create Clusters and Nodepools

Set up capabilities that match your computational needs

📄️ Deploy a Model

Deploy a model into your created cluster and nodepool

📄️ Manage Your Compute

Edit and delete deployments, clusters, and nodepools

📄️ Supported Cloud Instances

Learn about the instance types we support