The NVIDIA application of DIGITS, release 18.12, is available.
Contents of DIGITS
This application contains the complete source of the version of DIGITS in /opt/digits
. It is pre-built and installed into the /usr/local/python/
directory in the application.
Two DIGITS containers are available for this release based on the deep learning frameworks. Tag 18.12-tensorflow
includes the TensorFlow framework only. Tag 18.12-caffe
includes the Caffe only.
The container also includes the following:
- Ubuntu 16.04 including Python 2.7
- NVIDIA CUDA 10.0.130 including CUDA® Basic Linear Algebra Subroutines library™ (cuBLAS) 10.0.130
- NVIDIA CUDA® Deep Neural Network library™ (cuDNN) 7.4.1
- NCCL 2.3.7 (optimized for NVLink™ )
- OpenMPI 3.1.2
- NVCaffe 0.17.2
- TensorFlow 1.12.0
- TensorRT 5.0.2
Driver Requirements
Release 18.12 is based on CUDA 10, which requires NVIDIA Driver release 410.xx. However, if you are running on Tesla (Tesla V100, Tesla P4, Tesla P40, or Tesla P100), you may use NVIDIA driver release 384. For more information, see CUDA Compatibility and Upgrades.
GPU Requirements
Release 18.12 supports CUDA compute capability 6.0 and higher. This corresponds to GPUs in the Pascal, Volta, and Turing families. Specifically, for a list of GPUs that this compute capability corresponds to, see CUDA GPUs. For additional support details, see Deep Learning Frameworks Support Matrix.
Key Features and Enhancements
This DIGITS container image version includes the following key features and enhancements.
- NVIDIA DIGITS application version 18.12 is based on DIGITS version 6.1.1
- Latest version of TensorFlow 1.12.0
- Latest version of NVCaffe 0.17.2
- Ubuntu 16.04 with November 2018 updates
Security Notice
DIGITS is not designed to be run as an exposed external web service.
Known Issues
The GoogleNet example in the TensorFlow framework container may fail during the validation stage.