TDgpt
This section describes how to install TDgpt, manage Anodes, preprocess data, evaluate models, and add algorithms and models that applications can invoke through SQL.
📄️ Introduction
Introduction to the TDgpt time-series analytics agent
📄️ Installation
Deploy TDgpt with Docker, TDengine Cloud, or installation packages
📄️ Anode Management
Start, configure, and register TDgpt Anodes
📄️ Data Preprocessing
Analysis Workflow
📄️ Model Evaluation Tools
Evaluate TDgpt forecasting and anomaly-detection models
🗃️ Algorithm Developer's Guide
3 items
📄️ Frequently Asked Questions
Common TDgpt installation and query issues
📄️ System Requirements
The system requirements on this page apply to the machine running the anode for TDgpt. Note that these are guidelines, and actual requirements scale with model size, request concurrency (QPS), context/window length, and any local caching/feature store footprint.