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SUPPORTED_PLATFORMS.rst

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Supported platforms for inference

Here we maintain the list of supported platforms for running inference.

Linux / AMD64 without GPU

  • x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
  • Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
  • Full TensorFlow runtime (deepspeech packages)
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Linux / AMD64 with GPU

  • x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
  • Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
  • CUDA 10.0 (and capable GPU)
  • Full TensorFlow runtime (deepspeech packages)
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Linux / ARMv7

  • Cortex-A53 compatible ARMv7 SoC with Neon support
  • Raspbian Buster-compatible distribution
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Linux / Aarch64

  • Cortex-A72 compatible Aarch64 SoC
  • ARMbian Buster-compatible distribution
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Android / ARMv7

  • ARMv7 SoC with Neon support
  • Android 7.0-10.0
  • NDK API level >= 21
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Android / Aarch64

  • Aarch64 SoC
  • Android 7.0-10.0
  • NDK API level >= 21
  • TensorFlow Lite runtime (deepspeech-tflite packages)

macOS / AMD64

  • x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
  • macOS >= 10.10
  • Full TensorFlow runtime (deepspeech packages)
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Windows / AMD64 without GPU

  • x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
  • Windows Server >= 2012 R2 ; Windows >= 8.1
  • Full TensorFlow runtime (deepspeech packages)
  • TensorFlow Lite runtime (deepspeech-tflite packages)

Windows / AMD64 with GPU

  • x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
  • Windows Server >= 2012 R2 ; Windows >= 8.1
  • CUDA 10.0 (and capable GPU)
  • Full TensorFlow runtime (deepspeech packages)
  • TensorFlow Lite runtime (deepspeech-tflite packages)