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Intel® AI Analytics Toolkit (Beta)
Migrating Existing Projects
Components of This Toolkit
- Intel® oneAPI Math Kernel Library and the Intel®oneAPI Data Analytics Library. The distribution also includes daal4py, a Python module integrated with the Intel® oneAPI Data Analytics Library as well as the Python Data Parallel Processing Library (PyDPPL), a light weight Python wrapper for Data Parallel C++ and SYCL that provides a data parallel interface and abstractions to efficiently tap into device management features of CPUs and GPUs running on Intel® Architecture.
- Intel® Distribution of Modin, which enables you to seamlessly scale preprocessing across multi nodes using this intelligent, distributed dataframe library with an identical API to pandas. For more information see, Installing the Intel® AI Analytics Toollkit with the Conda* Package Manager.Standard Python installations are fully compatible with the AI Kit, but the Intel® Distribution for Python is preferred.
- Model Zoo for Intel® Architecture: Access pretrained models, sample scripts, best practices, and step-by-step tutorials for many popular open source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors.
- Low Precision Optimization Tool: Provide a unified, low-precision inference interface across multiple deep learning frameworks optimized by Intel with this open-source Python library.