Intel Extension For TensorFlow Released - Provides Intel GPU Acceleration

Intel has published the Intel Extension for TensorFlow that makes use of TF's PluggableDevice mechanism to now provide an Intel GPU back-end for TensorFlow that works with the Data Center GPU Flex Series as well as Arc Graphics discrete GPUs.

Intel Extension for TensorFlow is now ready to provide easy GPU acceleration for Intel hardware with TensorFlow, complementing the NVIDIA CUDA and AMD HIP support. The Intel support leverages TensorFlow's PluggableDevice interfac to allow for this plug-in based hardware support without needing a new TensorFlow release.

This Data Center GPU Flex Series and Intel Arc Graphics support for TensorFlow is available for Linux as well as working under Windows Subsystem for Linux (WSL2) and makes use of Intel oneAPI software components.

Intel Extension for TensorFlow

Setting up the Intel Extension for TensorFlow can be as easy as "pip install intel-extension-for-tensorflow[gpu]."

More details on this Intel GPU support for TensorFlow via TensorFlow.org and the intel.com developer article.