# Introduction ### Overview Ai-API™ makes moving trained ML models to production easy: * Package models trained with ML framework and then containerize the model server for production deployment * Deploy anywhere for online API serving endpoints or offline batch inference jobs * High-Performance API model server with adaptive micro-batching support * Ai-API™ server is able to handle high-volume without crashing, supports multi-model inference, API server Dockerization, Built-in Prometheus metric endpoint, Swagger/Open API endpoint for API Client library generation, serverless endpoint deployment etc. * Central hub for managing models and deployment process via web UI and APIs * Supports various ML frameworks including: Scikit-Learn, PyTorch, TensorFlow 2.0, Keras, FastAI v1 & v2, XGBoost, H2O, ONNX, Gluon and more * Supports API input data types including: DataframeInput, JsonInput, TfTensorflowInput, ImageInput, FileInput, MultifileInput, StringInput, AnnotatedImageInput and more * Supports API output Adapters including: BaseOutputAdapter, DefaultOutput, DataframeOutput, TfTensorOutput and JsonOutput ### Easy steps to Ai-API**™** Deployment 1. [Select your notebook](/info/1.2.7/ai-api-engine/notebooks.md) 2. [Build Model](/info/1.2.7/ai-api-engine/build-models.md) 3. [Deploy](/info/1.2.7/ai-api-engine/deploy.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://computationaldocs.zeblok.com/info/1.2.7/ai-api-engine/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.