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® architectures. The components are built using oneAPI libraries for low-level compute optimizations. This toolkit maximizes performance from preprocessing through machine learning, and provides interoperability for efficient model development.
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.
- Gain direct access to analytics and AI optimizations from Intel to ensure that your software works together seamlessly.