intel/ai-reference-models
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
ArchivedProvides curated sample scripts and tutorials for popular models (ResNet, BERT, Vision Transformer, etc.) across TensorFlow and PyTorch frameworks, with optimizations via Intel Extension plugins and support for multiple precision formats (Int8, BFloat16, FP32). Includes containerized environments and Jupyter notebooks for reproducible deployment, alongside best practices for leveraging Intel's upstream framework contributions. Supports both CPU inference/training on Xeon Scalable processors and GPU workloads on Intel Data Center GPUs.
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Feb 11, 2026
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