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How Intel® oneAPI AI Analytics Toolkit (AI Kit) accelerates AI pipelines

How Intel® oneAPI AI Analytics Toolkit (AI Kit) accelerates AI pipelines

It might be difficult to manage data across AI pipelines because performance must be maximized everywhere. The appropriate software tools can be useful. With the support of the Intel® oneAPI AI Analytics Toolkit, academics, developers, and data scientists can speed machine learning and data science workflows on Intel architecture. OneAPI libraries are used to build toolkit components that optimize low-level computation on CPUs and GPUs. Users benefit from high performance for end-to-end machine learning and deep learning. Quick, precise training and inference, the capacity to smoothly scale up and out, and compatibility with the most recent optimizations from Intel in a unified, integrated package.

With just one line of code update for Scikit-learn and Modin and no code changes for other components, you can unlock these advantages and simple, out-of-the-box performance.

Intel® Extension for Scikit-learn:

from sklearnex import patch_sklearn
patch_sklearn()

Intel® Distribution of Modin:

import modin.pandas as pd

Real-world applications call for performance and seamless integration across data intake, ETL, feature engineering, model training, and inference. Pre-trained models, optimized TensorFlow and PyTorch frameworks, and an accurate low-precision optimizer are all included in the toolkit. Modin, OmniSci, and Scikit-learn have been improved to speed up data analytics, while core Python libraries have been improved to help offload AI tasks for the best performance and to scale up data-parallel architectures.

The toolbox as a whole offers potent end-to-end solutions for large data analysis and scientific computations. Significant performance gains can be made using 3rd generation Intel Xeon (Zeon) Scalable processors and Intel versions of TensorFlow, scikit-learn, and Modin, including up to 1.63x more performance using Intel-optimized Scikit-learn, up to 59x faster end-to-end Census workloads, up to 68.9x faster end-to-end PLAsTICC workloads, up to 2.4x faster training, up to 3x Your AI solutions will produce real-world results more quickly with higher performance. Improve your AI now. You can utilize the Intel® DevCloud or download the Intel® oneAPI AI Analytics toolbox for free.