Deepgram provides a variety of tools that you can use to configure and deploy our ASR services on-premise. This Quickstart shows only one strategy. If you plan to deploy Deepgram products on-premise using this strategy, follow this Quickstart. Otherwise, deploy Deepgram products on-premise by following the steps in Configure Hardware & Software, Get and Configure Deepgram Products, and Product Deployment.
This Quickstart supports the following:
p2.xlargewith a Tesla K80 GPU and
To deploy using the supported deployment strategy, read on.
cloud-init.txt file with the following content:
#!/bin/bash LICENSE_KEY= DOCKER_USERNAME= DOCKER_PASSWORD= GENERAL_MODEL= echo $DOCKER_PASSWORD | docker login --username $DOCKER_USERNAME --password-stdin docker pull deepgram/onprem-api:latest docker pull deepgram/onprem-engine:latest docker logout cd /home/ubuntu/config sed -i 's/REPLACEWITHKEY/'"$LICENSE_KEY"'/g' api.toml sed -i 's/REPLACEWITHKEY/'"$LICENSE_KEY"'/g' engine.toml cd /home/ubuntu/ mkdir engine cd /home/ubuntu/engine mkdir models cd models wget $GENERAL_MODEL mv general*.dg general.dg chmod 644 general.dg chown -R ubuntu:ubuntu /home/ubuntu/engine cd /home/ubuntu/
cloud-init.txt to enter the appropriate values at the top of the file:
LICENSE_KEY= DOCKER_USERNAME= DOCKER_PASSWORD= GENERAL_MODEL=
GENERAL_MODEL, include the URL of the model provided to you by Deepgram. If you require more than one model or want extra features, like punctuation,
contact your sales representative, and we will provide an
cloud-init.txt customized to your needs.
Provide the contents of
cloud-init.txt as user data.
Start the AWS instance,
ssh to it, and start the Deepgram
engine services by running:
$ cd /home/ubuntu/config $ docker-compose up -d