How to deploy a model on Scaleway Managed Inference

Reviewed on April 09, 2025

Before you start

To complete the actions presented below, you must have:

• A Scaleway account logged into the console
• Owner status or IAM permissions allowing you to perform actions in the intended Organization

1. Click the AI section of the Scaleway console, and select Managed Inference from the side menu to access the Managed Inference dashboard.
2. From the drop-down menu, select the geographical region where you want to create your deployment.
3. Click Deploy a model to launch the model deployment wizard.
4. Provide the necessary information:
   • Select the desired model and quantization to use for your deployment from the available options.
     Important

     Scaleway Managed Inference allows you to deploy various AI models, either from the Scaleway catalog or by importing a custom model. For detailed information about supported models, visit our Supported models in Managed Inference documentation.

     Note

     Some models may require acceptance of an end-user license agreement. If prompted, review the terms and conditions and accept the license accordingly.

   • Choose the geographical region for the deployment.
   • For custom models: Choose the model quantization.
     Tip

     Each model comes with a default quantization. Select lower bits quantization to improve performance and enable the model to run on smaller GPU nodes, while potentially reducing precision.

   • Specify the GPU Instance type to be used with your deployment.
5. Choose the number of nodes for your deployment. Note that this feature is currently in Public Beta.
   Note

   High availability is only guaranteed with two or more nodes.

6. Enter a name for the deployment, and optional tags.
7. Configure the network connectivity settings for the deployment:
   • Attach to a Private Network for secure communication and restricted availability. Choose an existing Private Network from the drop-down list, or create a new one.
   • Set up Public connectivity to access resources via the public internet. Authentication by API key is enabled by default.
   Important

   • Enabling both private and public connectivity will result in two distinct endpoints (public and private) for your deployment.
   • Deployments must have at least one endpoint, either public or private.
8. Click Deploy model to launch the deployment process. Once the model is ready, it will be listed among your deployments.