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chore: remove multi-node integration docs as we're moving to a http based implementation
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@ -84,5 +84,5 @@ For those interested in securing their setup, consider using Caddy directives li
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And there you have it! You've successfully set up Tabby with Caddy as a reverse proxy. Happy coding with your new AI assistant!
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As an additional note, since the release of v0.9.0, Tabby enterprise edition now includes the built-in ability to handle replicas and load balancing, with a integrate account management system.
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For more information, refer to the [official documentation](/docs/administration/distributed/) for details.
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As an additional note, since the release of v0.9.0, Tabby enterprise edition now includes the built-in account management system.
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For more information, refer to the [official documentation](/) for details.
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---
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sidebar_position: 9
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---
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import CompletionWorkerUrl from "./completion-worker.png";
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import ChatPlaygroundUrl from "./chat-playground.png";
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# Multi-node and Load Balancing
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:::subscription
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This feature is available in the **Team** and **Enterprise** Plans.
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:::
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Tabby provides built-in distributed support for multi-node setups. This allows you to scale your Tabby deployment horizontally and distribute the workload across multiple GPU workers.
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## Start Tabby
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Start the web UI using the following command:
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```bash
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tabby serve
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```
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By doing so, the web server will operate without a model attached to it. If you send a POST request to `/v1/completions`, you will receive a `501 Not Implemented` error.
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## Check the Cluster Information
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In the `Cluster Information` tab of the admin panel, you can see that there are no workers connected to the Tabby instance, except for the local code index.
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![Cluster Information](./cluster-information.png)
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You'll also notice the `Registration Token` displayed on this page. This token is used to authenticate the worker nodes with the Tabby instance and will be referred to as `TABBY_REGISTRATION_TOKEN` in the following sections.
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## Register a Completion Worker
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To register a worker, you need to run the following command:
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```bash
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# In this tutorial, we'll start the worker on the same machine as the web server.
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export TABBY_WEBSERVER_URL=127.0.0.1:8080
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export TABBY_REGISTRATION_TOKEN=<token from the admin panel>
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tabby worker::completion \
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--model StarCoder-1B \
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--url $TABBY_WEBSERVER_URL \
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--token $TABBY_REGISTRATION_TOKEN \
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--port 8081
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```
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After this command executes successfully, you should see the new worker in the `Cluster Information` tab.
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More workers can be added by running the same command on different machines to improve the concurrency of the system.
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Tabby will distribute the workload across all the workers.
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<img src={CompletionWorkerUrl} width={720} />
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## (Optional) Register a Chat Worker
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Similarly, you can register a chat worker by running the following command to enable the chat playground.
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```bash
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tabby worker::chat \
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--model Mistral-7B \
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--url $TABBY_WEBSERVER_URL \
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--token $TABBY_REGISTRATION_TOKEN \
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--port 8082
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```
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Once it's registered, you should see the `Chat Playground` entry under the avatar menu.
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<img src={ChatPlaygroundUrl} width={360} />
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