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Neutree Documentation

Documentation Overview

To help you fully understand the core concepts, usage methods, and best practices of Neutree, please refer to the following sections.

  1. For a quick hands-on experience with platform features, the Quick Start section will guide you through deploying a minimal version of the AI platform on a single node and creating your first AI workload.

  2. To understand the complete deployment details, including production-grade deployment and more deployment options, please refer to Deploy AI Platform to complete a full Neutree deployment.

  3. After completing the installation and deployment, set up the infrastructure:

    1. Create a container image registry to provide the required container images for cluster deployment.

    2. If cluster nodes cannot access Docker Hub, you can manually import images.

    3. Create a cluster.

  4. After completing the infrastructure setup, manage model and inference-related resources:

    1. Create a model registry to store models.

    2. Use command-line tools to manage models in the model registry.

    3. The platform provides a model catalog, which you can use when creating endpoints to select appropriate models and simplify the configuration process.

    4. Create an inference endpoint. The platform will load the specific model from the selected model registry for use by the inference engine.

  5. In addition to running AI workloads within the platform, you can also integrate Neutree from external systems using API keys.

  6. Administrators can read the User and Permission Management section to learn about user management, permission control, and how to implement multi-tenant isolation through workspace policies.

  7. The platform also provides a series of auxiliary tools and configuration features, such as customizing platform appearance, importing YAML, and exporting YAML, to help you simplify management and operations tasks and achieve personalized configurations.