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Overview
AI Kit: The AI Kit gives data scientists, AI developers, and researchers familiar Python tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel architecture. The components are built using oneAPI libraries for low-level compute optimizations.
Using this toolkit, you can:
Deliver high-performance, deep learning training on Intel® XPUs and integrate fast inference into your AI development workflow with Intel-optimized, deep learning frameworks for TensorFlow and PyTorch, pretrained models, and low-precision tools.
Achieve drop-in acceleration for data preprocessing and machine learning workflows with compute-intensive Python packages, Modin, scikit-learn, and XGBoost, optimized for Intel.
Using
These come in the form of conda environments. The following are currently available:
Version | Cluster | Conda Activate | ||
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2023.2 | Loren |
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2023.1 | Beartooth |
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2022.3 | Beartooth |
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Example:
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[]$ module load miniconda3/23.1.0 []$ conda activate /apps/u/opt/compilers/oneapi/2022.3/tensorflow/2.9.1.0 (/apps/u/opt/compilers/oneapi/2022.3/tensorflow/2.9.1.0) []$ python --version Python 3.9.12 :: Intel Corporation |
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