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A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.

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ritchieng/dlami

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Deprecation Note

This AMI is officially deprecated as the ecosystem has evolved and many stable and updated versions are available currently from official channels.

How to find?

Under community AMI, search for DLAMI.V1. It is currently only available in Oregon.

DLAMI.V1 (latest stable AMI)

  • Python 2.7 and Python 3.5
  • PyTorch 0.1.12
  • TensorFlow 1.0.1
  • Theano 0.8.2
  • Keras 2.0.4
  • MXNet 0.9.3
  • Lua
  • Torch
  • CNTK
  • Caffe
  • CUDA release 7.5
  • CuDNN 5.1

FAQs (Relating to Driver Issues)

  1. Error: Failed to initialize NVML: Driver/library version mismatch
    • Run sudo reboot.
  2. Error: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
    • Run sudo apt-get update.
  3. Error: Mismatch of Kernel with DSO
    • Run sudo reboot.

Regions (DLAMI.V1)

  • Oregon ami-7e3a5b1e

DLAMI Instance Specifications

  • 50 GB EBS
  • Can be used on any GPU instances including the new p2 instances.
  • User: ec2-user
    • For example, when you ssh into your instance you would key in ssh -i name_of_key.pem ec2-user@public_ip_or_dns

Have a bug to report?

Raise an issue here and we'll update DLAMI to make sure it works or enable it across different regions.

Information

This was maintained by Ritchie Ng and Jie Fu from NExT Search Centre, NUS Smart Systems Institute, National University of Singapore.

And I would like to thank Amazon for their donation of AWS credits for our research that led to this useful byproduct deployed by people across the world.

License

MIT

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A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.

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