3 results
MARCH 6, 2026 / Cloud
Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google's primary high-performance framework for deploying GenAI and advanced on-device inference.
SEPT. 4, 2024 / AI Edge
TensorFlow Lite, now named LiteRT, is still the same high-performance runtime for on-device AI, but with an expanded vision to support models authored in PyTorch, JAX, and Keras.
AUG. 13, 2024 / Mobile
XNNPack, the default TensorFlow Lite CPU inference engine, has been updated to improve performance and memory management, allow cross-process collaboration, and simplify the user-facing API.
