.. _supported-platforms-deployment: Supported platforms =================== Here we maintain the list of supported platforms for deployment. Linux / AMD64 ^^^^^^^^^^^^^^^^^^^^^^^^^ * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance) * glibc >= 2.24, libstdc++6 >= 6.3 * TensorFlow Lite runtime Linux / ARMv7 ^^^^^^^^^^^^^ * Cortex-A53 compatible ARMv7 SoC with Neon support * Raspbian Buster-compatible distribution * TensorFlow Lite runtime Linux / Aarch64 ^^^^^^^^^^^^^^^ * Cortex-A72 compatible Aarch64 SoC * ARMbian Buster-compatible distribution * TensorFlow Lite runtime Android / ARMv7 ^^^^^^^^^^^^^^^ * ARMv7 SoC with Neon support * Android 7.0-10.0 * NDK API level >= 21 * TensorFlow Lite runtime Android / Aarch64 ^^^^^^^^^^^^^^^^^ * Aarch64 SoC * Android 7.0-10.0 * NDK API level >= 21 * TensorFlow Lite runtime macOS / AMD64 ^^^^^^^^^^^^^ * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance) * macOS >= 10.10 * TensorFlow Lite runtime Windows / AMD64 ^^^^^^^^^^^^^^^^^^^^^^^^^^^ * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance) * Windows Server >= 2012 R2 ; Windows >= 8.1 * TensorFlow Lite runtime