BigDL Nano is a component of the BigDL library that provides high-performance, scalable acceleration for Intel architectures, including optimizations for PyTorch and TensorFlow model training and inference. Current version is 2.4.0. Release cadence has been irregular, with major releases ~annually, but recently shifted to the IPEX-LLM project.
pip install bigdl-nanoVerified import paths — ran on the pinned version, not inferred.
Basic usage: import Nano, create an instance, and optimize a PyTorch model.
Switch to ipex-llm: pip install ipex-llm and use from ipex_llm import ...
Upgrade to Python 3.8+.