Singularity images on Bridges
We have installed many of the NVIDIA GPU Cloud (NGC) containers as Singularity images on Bridges. These containers have been optimized for Volta and Pascal architectures by NVIDIA, including rigorous quality assurance.
These containers can all be found on Bridges under the directory /pylon5/containers/ e.g., /pylon5/containers/ngc/caffe. A link to further documentation is included below the table for each package when appropriate. The naming convention for most of these containers includes the year of the release as the first two digits and month as the next two, so release 18.10 was created in October 2018.
See also:
- PSC documentation on Singularity for more details on Singularity use on Bridges
- Additional information about the NVIDIA NGC Registry is at http://ngc.nvidia.com
- Much more detail on the NGC containers at https://docs.nvidia.com/deeplearning/dgx/support-matrix/index.html
Caffe Available in /pylon5/containers/ngc/caffe |
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Caffe version | Image name | Python version | Other supported software |
0.17.3 | caffe_20.03-py3.sif | 3.6 | OpenMPI 3.1.4 Tensorrt 7.0.0 |
0.17.1 | 18.10-py2.simg | 2.7 | OpenMPI 2.0
TensorRT 5.0.0 RC |
0.17.1 | 18.09-py2.simg | 2.7 | |
0.17.1 | 18.08-py2.simg | 2.7 | OpenMPI 2.0 |
0.17.1 | 18.07-py2.simg | 2.7 |
Caffe2 version 0.81 Available in /pylon5/containers/ngc/caffe2 |
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Image name | Python version | Other supported software |
18.08-py3.simg | 3.5 | OpenMPI 1.10.3 |
18.08-py2.simg | 2.7 | |
18.07-py3.simg | 3.5 | |
18.07-py2.simg | 2.7 |
Microsoft Cognitive Toolkit (formerly CNTK) version 2.5 Available in /pylon5/containers/ngc/cntk |
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Image name | Python version | Other supported software |
18.08.py3.simg |
3.6 |
|
18.07.py3.simg |
DIGITS Available in /pylon5/containers/ngc/digits |
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DIGITS version | Image name | Python version | Other supported software |
6.1.1 | digits_20.03-tensorflow-py3.sif | 3.6 | Tensorrt 7.0.0 OpenMPI 3.1.4 NVIDIA CUDA 10.2.89 TensorFlow 1.15.2 |
6.1.1 | digits_20.06-tensorflow-py3.sif | 3.6 | Tensorrt 7.1.2 OpenMPI 3.1.6 NVIDIA CUDA 11.0.167 TensorFlow 1.15.2 |
6.1.1 | 18.10.simg | 2.7 |
|
6.1.1 | 18.09.simg |
Inference Server Available in /pylon5/containers/ngc/inferenceserver |
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Image name | Python version | Other supported software |
18.08.1-py3.simg | 3.5 | |
18.08.1-py2.simg | 2.7 | |
18.08-py3.simg | 3.5 |
|
18.08-py2.simg | 2.7 |
MATLAB Available in /pylon5/containers/mdl |
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Image name | matlab_r2019a.sif |
MXNet Available in /pylon5/containers/ngc/mxnet |
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MXNET version | Image name | Python version | Other supported software |
1.6.0 | mxnet_20.03-py3.sif | 3.6 | Tensorrt 7.0.0 OpenMPI 3.1.4 Horovod 0.19.1, NVIDIA Cuda 11.0.167 |
1.6.0 | mxnet_20.06-py3.sif | 3.6 | Tensorrt 7.1.2 OPenMPI 3.1.6 Horovod 0.19.1, NVIDIA Cuda 11.0.167 |
1.3.0 | 18.10-py3.simg | 3.5 |
|
1.3.0 | 18.09-py3.simg | 3.5 |
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1.2.0 | 18-08.py2.simg | 2.7 |
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1.2.0 | 18.07-py2.simg | 2.7 |
|
PyTorch Available in /pylon5/containers/ngc/pytorch |
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PyTorch version | Image name | Python version | Other supported software |
1.5.0a0+8f84ded | pytorch_20.03-py3.sif | 3.6 | OpenMPI 3.1.4 Tensorrt 7.0.0 Apex NVIDIA Cuda 10.2.89 Tensor Core optimized examples: • ResNeXt101-32x4d • SE-ResNext • TransformerXL • Jasper • BERT • Mask R-CNN • Tacotron 2 and WaveGlow v1.1 • SSD300 v1.1 • Neural Collaborative Filtering (NCF) • ResNet50 v1.5, GNMT v2 |
0.41+ | 18.10-py3.simg |
|
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0.41+ | 18.09-py3.simg |
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Tensorflow Available in /pylon5/containers/ngc/tensorflow |
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Tensorflow version | Image name | Python version | Other supported software |
1.15.2 | tensorflow_20.03-tf1-py3.sif | 3.6 | Horovod 0.19.0 OpenMPI 3.1.4 TensorRT 7.0.0 DALI 0.19.0 NVIDIA Cuda 10.2.89 Tensor Core optimized examples: (Included only in 20.03-tf1-py3) • U-Net Medical • SSD320 v1.2 • Neural Collaborative Filtering (NCF) • BERT • U-Net Industrial Defect Segmentation • GNMT v2 • ResNet-50 v1.5 |
2.1.0 | tensorflow_20.06-tf2-py3.sif | ||
1.15.2 | tensorflow_20.06-tf1-py3.sif |
3.6 | Horovod 0.19.1 for tf1 and Horovod 0.19.2 for tf2 OpenMPI 3.1.6 TensorRT 7.1.2 DALI 0.22 NVIDIA Cuda 11.0.167 Tensor Core optimized examples: (Included only in 20.06-tf1-py3) • U-Net Medical • SSD320 v1.2 • Neural Collaborative Filtering (NCF) • BERT • U-Net Industrial Defect Segmentation • GNMT v2 • ResNet-50 v1.5 JupyterLab 1.2.2 including tensorboard |
2.2.0 | tensorflow_20.06-tf2-py3.sif | ||
1.13.1 | 19.11-tf2-py3.simg | 3.6 |
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tensorflow-19.05-py3.simg | 3.5 |
|
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tensorflow-19.05-py2.simg | 2.7 | ||
1.10.0 | 18.10-py3.simg | 3.5 | Horovod 0.13.10
OpenMPI 3.0.0 TensorBoard 1.10.0 MLNX_OFED 3.4 OpenSeq2Seq v18.10 TensorRT 5.0.0 RC DALI 0.4 Beta |
18.10-py2.simg | 2.7 | ||
18.09-py3.simg | 3.5 | Horovod 0.13.10
OpenMPI 3.0.0 TensorBoard 1.10.0 MLNX_OFED 3.4 OpenSeq2Seq v18.09 TensorRT 5.0.0 RC DALI 0.2 Beta |
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18.09-py2.simg | 2.7 |
TensorRT version Available in /pylon5/containers/ngc/tensorrt |
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TensorRT version | Image name | Python version | Other supported software |
7.0.0 | tensorrt_20.03-py3.sif | 3.6 | OpenMPI 3.1.4 NVIDIA Cuda 10.2.89 |
7.1.2 | tensorrt_20.03-py6.sif | 3.6 | OpenMPI 3.1.6 NVIDIA Cuda 11.0.167 |
5.0.0 RC | 18.10-py3.simg | 3.6 | — |
5.0.0 RC | 18.10-py2.simg | 2.7 | — |
5.0.0 RC | 18.09-py3.simg | 3.6 | — |
5.0.0 RC | 18.09-p2.simg | 2.7 | — |
TensorRT Inference Server Available in /pylon5/containers/ngc/tensorrtserver |
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TensorRT Inference Server version | Image name | Python version | Other supported software |
1.11.0 | tensorrtserver_20.02-py3-clientsdk.sif | 3.6 | OpenMPI 3.1.4 TensorRT 7.0.0 |
0.7 Beta | 18.10-py3.simg | 3.5 | OpenMPI 2.0 |
0.6 Beta | 18.09-py3.simg |
Theano version 1.02 Available in /pylon5/containers/ngc/theano |
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Image name | Python version | Other supported software |
18.08.simg |
2.7 |
— |
18.07.simg |
Torch version 7 Available in /pylon5/containers/ngc/torch |
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Image name | Python version | Other supported software |
18.08-py2.simg |
2.7 |
— |
18.07-py2.simg |