
10/12
AIME T400 Workstation
Artificial Intelligence
Machines
8. AIME ML Container Manager
AIME ML Container Manager
AIME has developed a container management
system that helps to easily install, run, execute and
manage Docker containers for the most common
deep learning frameworks.
Features
• Setup and run a specific version of Tensorflow,
Pytorch or Mxnet with one simple command
• Run different versions of machine learning
frameworks and required libraries in parallel
• Manage required libraries (CUDA, CUDNN, CUBLAS,
etc.) in containers, without compromising the host
installation
• Clear separation of user code and framework
installation, test your code with a different
framework version in minutes
• Multi Session: Open and run many shell session on
a single container simultaneously
• Multi User: Separate container space for each user
• Multi GPU: Allocate GPUs per user, container or
session
• Runs with the same performance as a bare metal
installation
• Repository of all major deep learning framework
versions as containers
Available Frameworks
• Tensorflow
• Mxnet
• Pytorch
Available Versions
Tensorflow:
2.0.0, 1.15.0, 1.15, 1.14.0, 1.13.2
Mxnet:
1.5.0, 1.4.1, 1.3.1
Pytorch:
1.3.0, 1.2.0, 1.1.0
For more information, visit the AIME GitHub website:
https://github.com/aime-team/aime-ml-containers