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Broader model support and optimizations.Preview: A new Python API has been introduced to allow developers to convert and optimize models directly from Python scripts.Officially validated for Raspberry Pi 4 and Apple® Mac M1/M2 NEW: ARM processors are now supported in CPU plug-in, including dynamic shapes, full processor performance, and broad sample code/notebook coverage.NEW: C++ developers can now install OpenVINO runtime from Conda Forge​.Additionally, we’ve introduced a similar functionality with PyTorch models as a preview feature where you can convert PyTorch models directly without needing to convert to ONNX. For maximum performance, it is still recommended to convert to OpenVINO Intermediate Representation or IR format before loading the model. Now you can load TensorFlow and TensorFlow Lite models directly in OpenVINO Runtime and OpenVINO Model Server.More integrations, minimizing code changes.

New and Changed in 2023.0 Summary of major features and improvements