Available Deep Learning Containers Images
DLC Containers available
Release Date: April 21, 2020
Created On: April 21, 2020
Last Updated: June 16, 2020
Once you've selected your desired Deep Learning Containers image, continue with the one of the following:
-
To run training and inference on Deep Learning Containers for Amazon EC2 using MXNet, PyTorch, TensorFlow, and TensorFlow 2, see Amazon EC2 Tutorials
-
To run training and inference on Deep Learning Containers for Amazon ECS using MXNet, PyTorch, and TensorFlow, see Amazon ECS tutorials
-
Deep Learning Containers for Amazon EKS offer CPU, GPU, and distributed GPU-based training, as well as CPU and GPU-based inference. To run training and inference on Deep Learning Containers for Amazon EKS using MXNet, PyTorch, and TensorFlow, see Amazon EKS Tutorials
-
For information on security in Deep Learning Containers, see Security in AWS Deep Learning Containers
-
For a list of the latest Deep Learning Containers release notes, see Release Notes for Deep Learning Containers
The following table lists the Docker image URLs that will be used by Amazon ECS in task definitions. Replace the <repository-name> and <image-tag> values based on your desired container.
Deep Learning Containers Docker Images are available in the following regions:
|
Region |
Code |
General Container |
Elastic Inference Container |
Example URL |
|---|---|---|---|---|
|
US East (N. Virginia) |
us-east-1 |
Available |
Available |
763104351884.dkr.ecr.us-east-1.amazonaws.com/<repository-name>:<image-tag> |
|
US East (Ohio) |
us-east-2 |
Available |
Available |
763104351884.dkr.ecr.us-east-2.amazonaws.com/<repository-name>:<image-tag> |
|
US West (N. California) |
us-west-1 |
Available |
None |
763104351884.dkr.ecr.us-west-1.amazonaws.com/<repository-name>:<image-tag> |
|
US West (Oregon) |
us-west-2 |
Available |
Available |
763104351884.dkr.ecr.us-west-2.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Tokyo) |
ap-northeast-1 |
Available |
Available |
763104351884.dkr.ecr.ap-northeast-1.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Seoul) |
ap-northeast-2 |
Available |
Available |
763104351884.dkr.ecr.ap-northeast-2.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Hong Kong) |
ap-east-1 |
Available |
None |
871362719292.dkr.ecr.ap-east-1.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Mumbai) |
ap-south-1 |
Available |
None |
763104351884.dkr.ecr.ap-south-1.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Singapore) |
ap-southeast-1 |
Available |
None |
763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/<repository-name>:<image-tag> |
|
Asia Pacific (Sydney) |
ap-southeast-2 |
Available |
None |
763104351884.dkr.ecr.ap-southeast-2.amazonaws.com/<repository-name>:<image-tag> |
|
Middle East (Bahrain) |
me-south-1 |
Available |
None |
217643126080.dkr.ecr.me-south-1.amazonaws.com/<repository-name>:<image-tag> |
|
South America (Sao Paulo) |
sa-east-1 |
Available |
None |
763104351884.dkr.ecr.sa-east-1.amazonaws.com/<repository-name>:<image-tag> |
|
Canada (Central) |
ca-central-1 |
Available |
None |
763104351884.dkr.ecr.ca-central-1.amazonaws.com/<repository-name>:<image-tag> |
|
EU (Frankfurt) |
eu-central-1 |
Available |
None |
763104351884.dkr.ecr.eu-central-1.amazonaws.com/<repository-name>:<image-tag> |
|
EU (Stockholm) |
eu-north-1 |
Available |
None |
763104351884.dkr.ecr.eu-north-1.amazonaws.com/<repository-name>:<image-tag> |
|
EU (Ireland) |
eu-west-1 |
Available |
Available |
763104351884.dkr.ecr.eu-west-1.amazonaws.com/<repository-name>:<image-tag> |
|
EU (London) |
eu-west-2 |
Available |
None |
763104351884.dkr.ecr.eu-west-2.amazonaws.com/<repository-name>:<image-tag> |
|
EU (Paris) |
eu-west-3 |
Available |
None |
763104351884.dkr.ecr.eu-west-3.amazonaws.com/<repository-name>:<image-tag> |
|
China (Beijing) |
cn-north-1 |
Available |
None |
727897471807---dkr---ecr---cn-north-1.amazonaws.com.rproxy.goskope.com.cn/<repository-name>:<image-tag> |
|
China (Ningxia) |
cn-northwest-1 |
Available |
None |
727897471807---dkr---ecr---cn-northwest-1.amazonaws.com.rproxy.goskope.com.cn/<repository-name>:<image-tag> |
Note: eu-north-1 is available starting in the version 2.0 release. As a result, MXNet-1.4.0 is not available in this region. Deep Learning Containers are not available in GovCloud at this time.
ECR is a regional service and the Image table contains the URLs for us-east-1 images. To pull from one of the regions mentioned previously, insert the region in the repository URL following this example:
763104351884.dkr.ecr.<region>.amazonaws.com/tensorflow-training:1.15.2-cpu-py27-ubuntu18.04
You must login to access to the Deep Learning Containers image repository before pulling the image. Specify your region and its corresponding ECR Registry from the previous table in the following command:
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 763104351884.dkr.ecr.us-east-1.amazonaws.com
You can then pull these Docker images from Amazon ECR by running:
docker pull <name of container image>
General Framework Containers
To use the following table, select your desired framework, as well as the kind of job you're starting, and the desired Python version. Your job type is either training or inference. Your Python version is either py27 or py36. Plug this information into the replaceable portions of the URL as shown in the example URL.
|
Framework |
Job Type |
Horovod Options |
CPU/GPU |
Python Version Options |
Example URL |
|---|---|---|---|---|---|
|
TensorFlow 2.2 |
training |
Yes |
CPU |
3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.2.0-cpu-py37-ubuntu18.04 |
|
TensorFlow 2.2 |
inference | No | CPU | 3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:2.2.0-cpu-py37-ubuntu18.04 |
|
TensorFlow 2.2 (Cuda 10.1) |
training |
Yes |
GPU |
3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.2.0-gpu-py37-cu101-ubuntu18.04 |
|
TensorFlow 2.2 (Cuda 10.2) |
training | Yes | GPU | 3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.2.0-gpu-py37-cu102-ubuntu18.04 |
| TensorFlow 2.2 | inference | No | GPU | 3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:2.2.0-gpu-py37-cu102-ubuntu18.04 |
|
MXNet 1.6.0 |
training, inference |
Training: Yes, Inference: No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:1.6.0-cpu-py27-ubuntu16.04 |
|
MXNet 1.6.0 |
training, inference |
Training: Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:1.6.0-gpu-py27-cu101-ubuntu16.04 |
| PyTorch 1.5.0 |
training |
No |
CPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.5.0-cpu-py36-ubuntu16.04 |
| PyTorch 1.5.0 |
inference |
No |
CPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.5.0-cpu-py36-ubuntu16.04 |
| PyTorch 1.5.0 |
training |
Yes |
GPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.5.0-gpu-py36-cu101-ubuntu16.04 |
| PyTorch 1.5.0 |
inference |
No |
GPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.5.0-gpu-py36-cu101-ubuntu16.04 |
Elastic Inference Containers
|
Framework |
Job Type |
Horovod Options |
CPU/GPU |
Python Version Options |
Example URL |
|---|---|---|---|---|---|
|
TensorFlow 1.15.0 with Elastic Inference |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:1.15.0-cpu-py27-ubuntu18.04 |
|
TensorFlow 2.0.0 with Elastic Inference |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:2.0.0-cpu-py27-ubuntu18.04 |
|
MXNet 1.5.1 with Elastic Inference |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:1.5.1-cpu-py27-ubuntu16.04 |
|
PyTorch 1.3.1 with Elastic Inference |
inference |
No |
CPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference-eia:1.3.1-cpu-py36-ubuntu16.04 |
Prior Versions
|
Framework |
Job Type |
Horovod Options |
CPU/GPU |
Python Version Options |
Example URL |
|---|---|---|---|---|---|
|
TensorFlow 2.1 |
training |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.1.0-cpu-py27-ubuntu18.04 |
|
TensorFlow 2.1 |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:2.1.0-cpu-py27-ubuntu18.04 |
|
TensorFlow 2.1 |
training |
No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.1.0-gpu-py27-cu101-ubuntu18.04 |
|
TensorFlow 2.1 |
inference |
No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference:2.1.0-gpu-py27-cu101-ubuntu18.04 |
|
TensorFlow 1.15.2 |
training |
Yes |
CPU |
2.7 (py27), 3.6 (py36), 3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.2-cpu-py27-ubuntu18.04 |
|
TensorFlow 1.15.2 |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.2-cpu-py27-ubuntu18.04 |
|
TensorFlow 1.15.2 |
training |
Yes |
GPU |
2.7 (py27), 3.6 (py36), 3.7 (py37) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.2-gpu-py27-cu100-ubuntu18.04 |
|
TensorFlow 1.15.2 |
inference |
No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.2-gpu-py27-cu100-ubuntu18.04 |
|
MXNet 1.4.1 with Elastic Inference |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-inference-eia:1.4.1-cpu-py27-ubuntu16.04 |
| PyTorch 1.4.0 |
training |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.4.0-cpu-py27-ubuntu16.04 |
| PyTorch 1.4.0 |
inference |
No |
CPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.4.0-cpu-py36-ubuntu16.04 |
| PyTorch 1.4.0 |
training |
Yes |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.4.0-gpu-py27-cu101-ubuntu16.04 |
| PyTorch 1.4.0 |
inference |
No |
GPU |
3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.4.0-gpu-py36-cu101-ubuntu16.04 |
|
TensorFlow 1.14.0 with Elastic Inference |
inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-eia:1.14.0-cpu-py27-ubuntu16.04 |
|
TensorFlow 2.0.1 |
training, inference |
Training:Yes, Inference: No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.0.1-cpu-py27-ubuntu18.04 |
|
TensorFlow 2.0.1 |
training, inference |
Training: Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.0.1-gpu-py27-cu100-ubuntu18.04 |
|
TensorFlow 2.0.0 |
training, inference |
Training:Yes, Inference: No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.0.0-cpu-py27-ubuntu18.04 |
|
TensorFlow 2.0.0 |
training, inference |
Training: Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:2.0.0-gpu-py27-cu100-ubuntu18.04 |
|
TensorFlow 1.15.0 |
training, inference | Training:Yes, Inference: No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.0-cpu-py27-ubuntu18.04 |
|
TensorFlow 1.15.0 |
training, inference |
Training: Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.15.0-gpu-py27-cu100-ubuntu18.04 |
|
TensorFlow 1.14.0 |
training, inference |
Training:Yes, Inference: No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.14.0-cpu-py27-ubuntu16.04 |
|
TensorFlow 1.14.0 |
training, inference |
Training: Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-training:1.14.0-gpu-py27-cu100-ubuntu16.04 |
|
MXNet 1.4.1 |
training, inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:1.4.1-cpu-py27-ubuntu16.04 |
|
MXNet 1.4.1 |
training, inference |
No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/mxnet-training:1.4.1-gpu-py27-cu100-ubuntu16.04 |
| PyTorch 1.3.1 |
training, inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.3.1-cpu-py27-ubuntu16.04 |
| PyTorch 1.3.1 |
training, inference |
Training:Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.3.1-gpu-py27-cu101-ubuntu16.04 |
| PyTorch 1.2.0 |
training, inference |
No |
CPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.2.0-cpu-py27-ubuntu16.04 |
| PyTorch 1.2.0 |
training, inference |
Training:Yes, Inference: No |
GPU |
2.7 (py27), 3.6 (py36) |
763104351884.dkr.ecr.us-east-1.amazonaws.com/pytorch-training:1.2.0-gpu-py27-cu100-ubuntu16.04 |