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)
- Error:
Failed to initialize NVML: Driver/library version mismatch- Run
sudo reboot.
- Run
- 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.
- Run
- Error:
Mismatch of Kernel with DSO- Run
sudo reboot.
- Run
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
- For example, when you ssh into your instance you would key in
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