endpoint

Related topics

• DeployedModel is part of endpoint From the official documentation: “If your `Endpoint` already has other `DeployedModel` resources, then you can split traffic between the new `DeployedModel` and the old ones.”
• online inference depends on endpoint From the official documentation: “You must deploy your model to an endpoint before you can use it for inferences.”
• DeployedModel works with endpoint From the official documentation: “Update the YAML file of the `Endpoint` custom resource definition by adding a new `serviceRef` object on the `destinations` field. On the new object, include the appropriate service name based on your newly created `DeployedModel` custom resource.”
• endpoint works with model From the official documentation: “You can deploy this `Model` to an `Endpoint` and then send prediction requests to this resource.”
• endpoint depends on service attachment From the official documentation: “Create a forwarding rule to connect the endpoint to the service producer's service attachment.”
• model depends on endpoint From the official documentation: “You must deploy the model to an endpoint before the model can be used to serve online inferences.”
• model monitoring is part of endpoint From the official documentation: “Turn off model monitoring for this endpoint.”
• batch inference is part of Gemini Enterprise Agent Platform From the official documentation: “Gemini Enterprise Agent Platform provides two options for projecting future values using your trained forecast model: online inferences and batch inference.”
• batch inference works with model monitoring From the official documentation: “Optional: [**Model Monitoring**](/gemini-enterprise-agent-platform/machine-learning/model-monitoring/overview) analysis for batch inferences is available in [Preview](https://cloud.google.com/products/#product-launch-stages).”
• batch inference is an alternative to online inference From the official documentation: “Gemini Enterprise Agent Platform provides two options for projecting future values using your trained forecast model: online inferences and batch inference.”
• model is part of Gemini Enterprise Agent Platform From the official documentation: “`Model`, this resource is available in Gemini Enterprise Agent Platform.”
• online inference is part of Gemini Enterprise Agent Platform From the official documentation: “Gemini Enterprise Agent Platform provides two options for projecting future values using your trained forecast model: online inferences and batch inference.”