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About the Dynamo Command Line Interface — Dynamo

Last updated: 12/12/2025

Title: About the Dynamo Command Line Interface#

URL Source: https://docs.nvidia.com/dynamo/archive/0.3.1/guides/cli_overview.html?userAgent=PromptingBot%2F1.0.0

Published Time: Wed, 02 Jul 2025 21:58:30 GMT

Markdown Content: The Dynamo CLI serves, containerizes, and deploys Dynamo applications efficiently. It provides intuitive commands to manage your Dynamo services.

CLI Capabilities#

With the Dynamo CLI, you can:

  • Chat with models quickly using run

  • Serve multiple services locally using serve

  • Package your services into archive (called dynamo artifact) using build

  • Deploy pipelines to Dynamo Cloud using deploy

Commands#

run#

Use run to start an interactive chat session with a model. This command executes the dynamo-run Rust binary under the hood. For more details, see Running Dynamo.

Example#

dynamo run deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

serve#

Use serve to run your defined inference graph locally. You’ll need to specify your file and intended class using the file:Class syntax. For more details, see Serving Inference Graphs.

Usage#

dynamo serve [SERVICE]

Arguments#

  • SERVICE: Specify the service to start using file:Class syntax

Flags#

  • --file/-f: Path to optional YAML configuration file. For configuration examples, see the SDK docs

  • --dry-run: Print the dependency graph and values without starting services

  • --service-name: Start only the specified service name

  • --working-dir: Set the directory for finding the Service instance

  • Additional flags following Class.key=value pattern are passed to the service constructor. For details, see the configuration section of the SDK docs

Example#

cd examples

Start the Frontend, Middle, and Backend components

dynamo serve hello_world:Frontend

Start only the Middle component in the graph that is discoverable from the Frontend service

dynamo serve --service-name Middle hello_world:Frontend

build#

Use build to package your inference graph and its dependencies into an archive. Combine this with the --containerize flag to create a single Docker container for your inference graph. As with serve, you point toward the first service in your dependency graph. For more details, see Serving Inference Graphs.

Usage#

dynamo build [SERVICE]

Arguments#

  • SERVICE: Specify the service to build using file:Class syntax

Flags#

  • --working-dir: Specify the directory for finding the Service instance

  • --containerize: Choose whether to create a container from the dynamo artifact after building

Example#

cd examples/hello_world dynamo build hello_world:Frontend

deploy#

Use deploy to create a pipeline on Dynamo Cloud using either interactive prompts or a YAML configuration file. For more details, see Deploying Inference Graphs to Kubernetes.

Usage#

dynamo deploy [PIPELINE]

Arguments#

  • PIPELINE: The pipeline to deploy; defaults to None; required

Flags#

  • --name/-n: Set the deployment name. Defaults to None; required

  • --config-file/-f: Specify the configuration file path. Defaults to None; required

  • --wait/--no-wait: Choose whether to wait for deployment readiness. Defaults to wait

  • --timeout: Set maximum deployment time in seconds. Defaults to 3600

  • --endpoint/-e: Specify the Dynamo Cloud deployment endpoint. Defaults to None; required

  • --help/-h: Display command help

For a detailed deployment example, see Operator Deployment.

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