What's new in TensorFlow 2.21- Google Developers Blog
3/6/2026 · Pradeep Kuppala, Rodney Witcher
What this post added
The LiteRT stack has fully graduated into production, becoming the universal on-device inference framework. It offers 1.4x faster GPU performance than TFLite, introduces NPU acceleration, and supports a unified workflow for GPU and NPU acceleration. LiteRT also provides first-class PyTorch/JAX support via model conversion and supports cross-platform GenAI deployment for models like Gemma. TensorFlow 2.21 includes operator enhancements for lower-precision data types (int8, int16x8, INT2, INT4) for improved performance and efficiency in operators like SQRT, comparison, slice, and fully_connected. Community efforts are now exclusively focused on security and bug fixes, dependency updates, and community contributions for various TensorFlow projects.