Get Started

Get Started with the Intel® AI Tools for Windows*

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ID 766879
Date 11/07/2023
Public
Document Table of Contents
Document Table of Contents x
Get Started with the AI Tools
Get Started with the AI Tools x
Components Configure Your System Build and Run a Sample Using the Command Line Using Cloud CI Systems Troubleshooting for the AI Tools Notices and Disclaimers
Get Started with the AI Tools

Get Started with the AI Tools

The following instructions assume you have installed the AI Tools software. Please see the AI Tools page for installation options.

Follow these steps to build and run a sample with the AI Tools:

  1. Configure your system.
  2. Build and Run a Sample.

NOTE:
Standard Python installations are fully compatible with the AI Tools, but the Intel® Distribution for Python* is preferred.

No special modifications to your existing projects are required to start using them with these tools.

Components

The AI Tools include:

NOTE:
The Intel AI Analytics Toolkit is now known as the Intel AI Tools. The Intel AI Tools are currently not supported on Windows* OS for 2024.0 version. To access 2023.2 Intel AI Analytics Toolkit documentation for Windows*, please select 2023.2 from the drop-down Version menu at the top of this page.

Component Name Package Name Platform Channel
Intel® Distribution for Python*:

Get faster Python application performance right out of the box, with minimal or no changes to your code. This distribution is integrated with Intel® Performance Libraries such as the

Intel® oneAPI Math Kernel Library

and the

Intel®oneAPI Data Analytics Library

intelpython3_full

win

intel
Intel® Distribution of Modin*

modin-ray

win

anaconda

Intel® Neural Compressor*:

Quickly deploy low-precision inference solutions on popular deep-learning frameworks such as TensorFlow*, PyTorch*, MXNet*, and ONNX* (Open Neural Network Exchange) runtime.

neural-compressor

win

intel

Intel® Optimization for PyTorch*:

pytorch

(include -c pytorch on your command line)

win

pytorch

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