Local (Docker)


General configuration for the services deployed using the Quick Start script is done by editing the file config.sh. By default, the configuration file is set to launch all available services on the supported GPU.

Important: By default, the Riva Speech Services API server will listen on port 50051.

All of the configuration options are documented within the configuration file itself. Follow the instructions in the config.sh file to change the default deployment behavior of the script. Advanced users can select which specific models to deploy for each service by commenting out lines corresponding to the pre-built model configuration files.

Downloading Required Models and Containers from NGC

The riva_init.sh script downloads all required models and containers from NGC and generates the model repository. The download can take some time depending on your internet bandwidth. You will need to provide an NGC API key for it to work. The key can be provided either through the environment variable NGC_API_KEY or as a configuration file (which is automatically generated by running ngc config set).

If the NGC key cannot be automatically discovered from your environment, the init script will prompt you to enter it.

Run the script with the command bash riva_init.sh. Upon successful completion of this command, you should see the following output:

Logging into NGC Docker registry if necessary...
Pulling required Docker images if necessary...
 > Pulling Riva Speech Server images.
 > Pulling nvcr.io/nvidia/riva/riva-speech:1.8.0-beta-server. This may take some time...
Riva initialization complete. Run bash riva_start.sh to launch services.

Launching the Servers and Client Container

After downloading the required models and containers, the Riva Services servers can be started by running bash riva_start.sh. This launches the Riva Speech Service API server.

Example output:

Starting Riva Speech Services
 > Waiting for Triton server to load all models...retrying in 10 seconds
 > Waiting for Triton server to load all models...retrying in 10 seconds
 > Waiting for Triton server to load all models...retrying in 10 seconds
 > Triton server is ready…

To verify that the servers have started correctly, check that the output of docker logs riva-speech shows:

I0428 03:14:50.440943 1 riva_server.cc:66] TTS Server connected to Triton Inference Server at
I0428 03:14:50.440943 1 riva_server.cc:66] NLP Server connected to Triton Inference Server at
I0428 03:14:50.440951 1 riva_server.cc:68] ASR Server connected to Triton Inference Server at
I0428 03:14:50.440955 1 riva_server.cc:71] Riva Conversational AI Server listening on

To start a container with sample clients for each service, run bash riva_start_client.sh. From inside the client container, you can try the different services using the provided Jupyter notebooks by simply running:

jupyter notebook --ip= --allow-root --notebook-dir=/work/notebooks


To shut down the Riva Services server containers, run bash riva_stop.sh.


To clean-up the local Riva installation, run bash riva_clean.sh. This will stop and remove all Riva-related containers, as well as delete the Docker volume used to store model files. The Docker images themselves will not be removed.