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Copy file name to clipboardexpand all lines: getting-started/installation.md
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The Bacalhau client is a command-line interface (CLI) that allows you to submit jobs to the Bacalhau. The client is available for Linux, macOS, and Windows. You can also run the Bacalhau client in a Docker container.
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{% hint style="info" %}
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By default, you will submit to the Bacalhau public network, but the same CLI can be configured to submit to a private Bacalhau network. For more information, please read Running [Bacalhau on a Private Network](../setting-up/networking-instructions/private-cluster/).
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By default, you will submit to the Bacalhau public network, but the same CLI can be configured to submit to a private Bacalhau network. For more information, please read Running [Bacalhau on a Private Network](../setting-up/running-node/).
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{% endhint %}
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#### Step 1.1 - Install the Bacalhau CLI
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To run a specific version of Bacalhau using Docker, use the command docker run -it ghcr.io/bacalhau-project/bacalhau:v1.0.3, where "v1.0.3" is the version you want to run; note that the "latest" tag will not re-download the image if you have an older version. For more information on running the Docker image, check out the Bacalhau docker image example.
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To run a specific version of Bacalhau using Docker, use the command `docker run -it ghcr.io/bacalhau-project/bacalhau:v1.0.3`, where `v1.0.3` is the version you want to run; note that the `latest` tag will not re-download the image if you have an older version. For more information on running the Docker image, check out the Bacalhau docker image example.
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{% endtab %}
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{% endtabs %}
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{% endtab %}
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{% endtabs %}
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If you're wondering which server is being used, the Bacalhau Project has a [public Bacalhau server network](../setting-up/running-node/quick-start.md#ensure-your-storage-server-is-running) that's shared with the community. This server allows you to launch your jobs from your computer without maintaining a compute cluster on your own.
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If you're wondering which server is being used, the Bacalhau Project has a demo network that's shared with the community. This network allows you to familiarize with Bacalhau's capabilities and launch jobs from your computer without maintaining a compute cluster on your own.
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### Step 2 - Submit a Hello World job
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The `job_id` above is shown in its full form. For convenience, you can use the shortened version, in this case: `9d20bbad`.
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{% hint style="info" %}
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While this command is designed to resemble Docker's run command which you may be familiar with, Bacalhau introduces a whole new set of [flags](broken-reference/) to support its computing model.
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While this command is designed to resemble Docker's run command which you may be familiar with, Bacalhau introduces a whole new set of [flags](../dev/cli-reference/all-flags.md#docker-run) to support its computing model.
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{% endhint %}
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{% endtab %}
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When it says `Completed`, that means the job is done, and we can get the results.
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{% hint style="info" %}
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For a comprehensive list of flags you can pass to the list command check out [the related CLI Reference page](broken-reference/)
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For a comprehensive list of flags you can pass to the list command check out [the related CLI Reference page](../dev/cli-reference/all-flags.md)
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{% endhint %}
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#### Step 3.2 - Job information:
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Let's take a look at the results of the command execution in the terminal:
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