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System Requirements

Supported Unreal Engine version:

  • 5.1
  • 5.2
  • 5.3

Supported Platforms

Platform Development Target Build
Windows 10 64bit ✅ ✅
Ubuntu 18.04.6 Desktop 64bit ⚠️(Experimental) ⚠️(Experimental)
Android ⚠️(Experimental)

Tested only on Windows

Versions for UE5.3 and later have only been tested on Windows.
They have not been fully tested on Ubuntu and Android and we cannot guarantee that they will work properly. Therefore, they are marked as "Experimental".

Model format for Android

To use on Android, DNN models need to be converted to ORT format. See the official document for the details.

Known issue

There are some DNN models which cannot be loaded on Android.

Supported hardware acceleration

Platform Default CPU GPU DirectML GPU CUDA GPU TensorRT NNAPI
Windows 10 64bit ✅ ✅ ✅ ✅
Ubuntu 18.04.6 Desktop 64bit ✅ ✅ ✅
Android ✅ (Not tested yet)
  • To use GPU acceleration with DirectML, a DirectX 12 capable GPU is required.
  • To use GPU acceleration with CUDA and TensorRT, a supported NVIDIA GPU is required and the following versions of CUDA, cuDNN, and TensorRT are required to be installed.

CUDA, cuDNN, TensorRT versions

Other than RTX30** series RTX30** series
CUDA 11.0.3 11.0.3
cuDNN 8.0.2 (July 24th, 2020), for CUDA 11.0 8.0.5 (November 9th, 2020), for CUDA 11.0
TensorRT 7.1.3.4 for CUDA 11.0 7.2.2.3 for CUDA 11.0

For RTX2080Ti users

If you are using RTX2080Ti, you might need to use cuDNN v8.0.5. Please try various combinations.

CUDA 11.4.2 for Linux x86_64 Ubuntu 18.04
cuDNN 8.2.4 (September 2nd, 2021), for CUDA 11.4, Linux x86_64
TensorRT 8.2.3.0 (8.2 GA Update 2) for Linux x86_64, CUDA 11.0-11.5

Supported operators for TensorRT

On Linux, DNN models which contain unsupported operators cannot be loaded when TensorRT is enabled.
See the official document for supported operators.
(NNEngine uses TensorRT 8.2 as backend on Linux)