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Manage a notebook instance
Notebook instances provide you with a dedicated environment to develop and experiment with your AI models. After creating a notebook instance, follow these steps to seamlessly manage your instances: Step 1: Accessing Notebook Instances Dashboard: ...
Manage a model endpoint
This guide will walk you through the key features and steps involved in deploying your models, optimizing costs through undeployment, and removing endpoints when they are no longer needed. After creating a model endpoint, follow these steps to ...
GreenNode MaaS API
GreenNode MaaS provides an OpenAI-compatible API for seamless model inference. You can integrate it easily using Python, JavaScript SDK, or directly via the terminal with cURL. Use GreenNode MaaS API with OpenAI client libraries Install the library ...
Manage a model tuning job
Model tuning, also known as hyperparameter optimization, is the process of adjusting the hyperparameters of a machine learning model to improve its performance. Hyperparameters are settings that determine the learning process of a model and are not ...
Create an endpoint
After training and registering the model, the online prediction component enables the deployment and serving of models to make real-time predictions or inferences on new data. This component provides endpoints or APIs that can be integrated into ...