Get Started

Get Started with the Intel® AI Analytics Toolkit for Windows*

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ID 766879
Date 3/31/2023
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Document Table of Contents
Document Table of Contents x
Get Started with the Intel® AI Analytics Toolkit
Get Started with the Intel® AI Analytics Toolkit x
Components of This Toolkit Configure Your System Build and Run a Sample Using the Command Line Using Cloud CI Systems Troubleshooting for the Intel® AI Analytics Toolkit Notices and Disclaimers
Get Started with the Intel® AI Analytics Toolkit

Get Started with the Intel® AI Analytics Toolkit

The following instructions assume you have installed the Intel® oneAPI software. Please see the Intel AI Analytics Toolkit page for installation options.

Follow these steps to build and run a sample with the Intel® AI Analytics Toolkit (AI Kit):

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

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

No special modifications to your existing projects are required to start using them with this toolkit.

Components of This Toolkit

The AI Kit includes:

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
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

PyTorch*:

pytorch

(include -c pytorch on your command line)

win

pytorch

TensorFlow*:

tensorflow

win

anaconda

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