DIGITS Release 20.02
The NVIDIA application of DIGITS, release 20.02, is available on NGC.
Contents of the DIGITS container
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 20.02-tensorflow includes the TensorFlow framework only.
- Tag 20.02-caffe includes the Caffe only.
Driver Requirements
Release 20.02 is based on NVIDIA CUDA 10.2.89, which requires NVIDIA Driver release 440.33.01. However, if you are running on Tesla (for example, T4 or any other Tesla board), you may use NVIDIA driver release 396, 384.111+, 410, 418.xx or 440.30. The CUDA driver's compatibility package only supports particular drivers. For a complete list of supported drivers, see the CUDA Application Compatibility topic. For more information, see CUDA Compatibility and Upgrades.
GPU Requirements
Release 20.02 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
- NVIDIA DIGITS application version 20.02 is based on DIGITS version 6.1.1
- Latest version of Nsight Systems 2020.1.1
- Ubuntu 18.04 with January 2020 updates
Security Notice
DIGITS is not designed to be run as an exposed external web service.
NVIDIA DIGITS Container Versions
The following table shows what versions of Ubuntu, CUDA, DIGITS, and TensorRT are supported in each of the NVIDIA containers for DIGITS. For older container versions, refer to the Frameworks Support Matrix.
Container Version | Ubuntu | CUDA Toolkit | DIGITS | TensorRT |
---|---|---|---|---|
20.02 |
18.04 16.04 |
NVIDIA CUDA 10.2.89 | 6.1.1 | TensorRT 7.0.0 |
TensorRT 6.0.1 | ||||
19.10 | NVIDIA CUDA 10.1.243 | |||
19.09 | ||||
19.08 | TensorRT 5.1.5 |