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Common changes to the project configuration

Passing AWS credentials to a container

Add a new entry to the volumes section of the relevant service in docker-compose.yml

- type: volume
  source: $HOME/.aws/credentials
  target: /home/app/.aws/credentials
  readonly: true

Running on GPU

Modify the the core jupyter service to use the cschranz/gpu-jupyter image as a base instead.

Your dockerfile should look something like this

FROM cschranz/gpu-jupyter

RUN pip install --upgrade pip pip-tools
COPY requirements.* .
RUN pip-compile requirements.* --output-file requirements.txt
RUN pip install -r requirements.txt

RUN rm -rf work requirements*

Note that this image is very large (around 6GB, compared to the 800MB regular image) and will take some time to download and unpack. Keeping a cached version of this image somewhere easily accessible will save you time and money if you're planning to use this image on cloud GPUs.