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Copy file name to clipboardexpand all lines: pages/components/docs.mdx
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- Choose an **Availability Zone**, which is the geographical region where your Instance will be deployed.
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- Choose an **Image** to run on your Instance. This can be an operating system, an InstantApp or a custom image. A complete list of all available Linux distributions and InstantApps can be found [here](https://www.scaleway.com/en/imagehub/).
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<Message type="note">
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When choosing an image for an Enterprise Instance, be aware this Instance type is not compatible with bootscripts, except for [rescue mode](/instances/how-to/use-boot-modes#how-to-use-rescue-mode). InstantApps are also not available for this Instance type.
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When choosing an image for an Enterprise Instance, be aware this Instance type is not compatible with bootscripts, except for [rescue mode](/instances/how-to/use-boot-modes/#how-to-use-rescue-mode). InstantApps are also not available for this Instance type.
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</Message>
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- Choose an **Instance type**. Different Instance types have different prices, processing power, memory, storage options and bandwidth.
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- Add **Volumes**. Volumes are storage spaces used by your Instances.
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- For **GP1 Instances** you can leave the default settings of a maximum local storage, or choose how much [local](/instances/concepts#local-volumes) and/or [block](/instances/concepts#block-volumes) storage you want. Your **system volume** is the volume on which your Instance will boot. The system volume can be either a local or a block volume.
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- For **GP1 Instances** you can leave the default settings of a maximum local storage, or choose how much [local](/instances/concepts/#local-volumes) and/or [block](/instances/concepts/#block-volumes) storage you want. Your **system volume** is the volume on which your Instance will boot. The system volume can be either a local or a block volume.
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- **PRO2** and **Enterprise** Instances boot directly [on block volumes](/instances/concepts/#boot-on-block). You can add several block volumes and define how much storage you want for each.
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<Message type="important">
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Please note that:
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- a volume with an OS image should be at least 10GB (125GB for a GPU OS).
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- if several Block Storage volumes are connected to your Instance, the first volume will contain the OS and is required to boot the Instance. You can [change your boot volume](/instances/how-to/use-boot-modes/#how-to-change-the-boot-volume) after you create the Instance.
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- if you have two or more volumes with identical operating systems, or a volume with no operating system, choosing one of these as your boot volume may cause unpredictable boot behavior.
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</Message>
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- Enter a **Name** for your Instance, or leave the randomly-generated name in place. Optionally, you can also add [tags](/instances/concepts#tags) to help you organize your Instance.
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- Enter a **Name** for your Instance, or leave the randomly-generated name in place. Optionally, you can also add [tags](/instances/concepts/#tags) to help you organize your Instance.
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- Click **Advanced Options** if you want to configure a [flexible IP](/instances/concepts#flexible-ip), a local bootscript or a [cloud-init configuration](/instances/concepts#cloud-init). Otherwise, leave these options at their default values.
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- Verify the [SSH Keys](/account/concepts#ssh-key) that will give you access to your Instance.
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- Verify the **Estimated Cost** of your Instance, based on the specifications you chose.
Copy file name to clipboardexpand all lines: pages/generative-apis/reference-content/adding-ai-to-intellij-using-continue.mdx
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- A valid [API key](/iam/how-to/create-api-keys/) for API authentication
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- Installed [IntelliJ IDEA](https://www.jetbrains.com/idea/) on your local machine.
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## Install Continue in IntelliJ IDEA
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You can install Continue from the [JetBrains marketplace](https://plugins.jetbrains.com/plugin/22707-continue):
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3. Search for **Continue** and click **Install**.
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4. Restart IntelliJ IDEA after installation.
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###Configure Continue to use Scaleway’s Generative APIs
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## Configure Continue to use Scaleway’s Generative APIs
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####Configure Continue through the graphical interface
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### Configure Continue through the graphical interface
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To link Continue with Scaleway's Generative APIs, you can use built-in menus from Continue in IntelliJ IDEA.
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Embeddings and autocomplete models are not yet supported through graphical interface configuration. To enable them, you need to edit the configuration manually, see [Configure Continue through configuration file](#configure-continue-through-configuration-file).
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</Message>
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####Configure Continue through configuration file
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### Configure Continue through configuration file
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To link Continue with Scaleway’s Generative APIs, you need to configure the settings file:
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If you want to limit access to a specific Scaleway Project, you should add the field `"apiBase": "https://api.scaleway.ai/###PROJECT_ID###/v1/"` for each model (ie. `models`, `embeddingsProvider` and `tabAutocompleteModel`) since the default URL `https://api.scaleway.ai/v1/` can only be used with the `default` project.
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</Message>
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###Activate Continue in IntelliJ IDEA
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## Activate Continue in IntelliJ IDEA
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After configuring the API, activate Continue in IntelliJ IDEA:
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Enabling tab completion **may lead to higher token consumption** as the model generates predictions for every keystroke. Be mindful of your API usage and adjust settings accordingly to avoid unexpected costs. For more information, refer to the [official Continue documentation](https://docs.continue.dev/reference#tabautocompleteoptions).
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</Message>
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###Going further
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## Going further
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You can add additional parameters to configure your model behaviour by editing `config.json`.
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For instance, you can add the following `systemMessage` value to modify LLM messages `"role":"system"` and/or `"role":"developer"` and provide less verbose answers:
Copy file name to clipboardexpand all lines: pages/gpu/how-to/use-pipenv.mdx
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## Accessing the preinstalled Pipenv virtual environment
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Refer to our [dedicated documentation](/gpu/how-to/use-preinstalled-env/#working-with-the-preinstalled-environment-on-ubuntu-focal-gpu-os-11) on how to access the Pipenv virtual environment from your Scaleway GPU Instance.
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Refer to our [dedicated documentation](/gpu/how-to/use-preinstalled-env/#working-with-the-preinstalled-environment-on-ubuntu-focal-gpu-os-12) on how to access the Pipenv virtual environment from your Scaleway GPU Instance.
| Ubuntu Focal GPU OS 12 | Latest | Nvidia drivers, Nvidia Docker environment (launch Docker container to access working environment) | Pipenv virtual environment accessed via Docker |
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Using the latest Ubuntu Focal GPU OS11 image gives you a minimal OS installation on which you can [launch](/gpu/how-to/use-gpu-with-docker/) one of our ready-made [Docker images](/gpu/reference-content/docker-images/). This gives you access to a preinstalled Python environment managed with pipenv. A number of useful AI core packages and tools are installed, including `scipy`, `numpy`, `scikit-learn`, `jupyter`, `tensorflow`, and the Scaleway SDK. Depending on the [Docker image you choose](/gpu/reference-content/docker-images/), other packages and tools will also be preinstalled, providing a convenient framework environment for you so that you can begin work immediately.
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Using the latest Ubuntu Focal GPU OS12 image gives you a minimal OS installation on which you can [launch](/gpu/how-to/use-gpu-with-docker/) one of our ready-made [Docker images](/gpu/reference-content/docker-images/). This gives you access to a preinstalled Python environment managed with pipenv. A number of useful AI core packages and tools are installed, including `scipy`, `numpy`, `scikit-learn`, `jupyter`, `tensorflow`, and the Scaleway SDK. Depending on the [Docker image you choose](/gpu/reference-content/docker-images/), other packages and tools will also be preinstalled, providing a convenient framework environment for you so that you can begin work immediately.
Copy file name to clipboardexpand all lines: pages/managed-databases-for-postgresql-and-mysql/reference-content/pg-version-updates.mdx
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-`pg_stat_statements.track`
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-`pg_stat_statements.track_utility`
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Refer to the official [PG stats parameters](ttps://www.postgresql.org/docs/16/pgstatstatements.html#PGSTATSTATEMENTS-CONFIG-PARAMS) PostgreSQL documentation for more information.
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Refer to the official [PG stats parameters](https://www.postgresql.org/docs/16/pgstatstatements.html#PGSTATSTATEMENTS-CONFIG-PARAMS) PostgreSQL documentation for more information.
Copy file name to clipboardexpand all lines: pages/serverless-containers/how-to/deploy-container.mdx
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- Tick the box under **HTTPS connections only** to prevent your container from being called from insecure HTTP connections.
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</TabsTab>
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<TabsTablabel="Requests">
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- Set a custom [timeout](/serverless-containers/concepts/#timeout) for the duration of the requests received by your container.
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- Set a custom [timeout](/serverless-containers/concepts/#request-timeout) for the duration of the requests received by your container.
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- Tick the box under [HTTP protocol](/serverless-containers/concepts/#protocol) to listen to HTTP/2 requests if it is required by your application. Otherwise, we recommend you use HTTP/1.
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</TabsTab>
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<TabsTablabel="Performances">
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- Tick the box under **HTTPS connections only** to prevent your container from being called from insecure HTTP connections.
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</TabsTab>
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<TabsTablabel="Requests">
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- Set a custom [timeout](/serverless-containers/concepts/#timeout) for the duration of the requests received by your container.
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- Set a custom [timeout](/serverless-containers/concepts/#request-timeout) for the duration of the requests received by your container.
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- Tick the box under [HTTP protocol](/serverless-containers/concepts/#protocol) to listen to HTTP/2 requests if it is required by your application. Otherwise, we recommend you use HTTP/1.
Copy file name to clipboardexpand all lines: pages/serverless-containers/how-to/manage-a-container.mdx
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- Tick the box under **HTTPS connections only** to prevent your container from being called from insecure HTTP connections.
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</TabsTab>
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<TabsTablabel="Requests">
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- Set a custom [timeout](/serverless-containers/concepts/#timeout) for the duration of the requests received by your container.
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- Set a custom [timeout](/serverless-containers/concepts/#request-timeout) for the duration of the requests received by your container.
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- Tick the box under [HTTP protocol](/serverless-containers/concepts/#protocol) to listen to HTTP/2 requests if it is required by your application. Otherwise, we recommend you use HTTP/1.
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</TabsTab>
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<TabsTablabel="Requests">
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- Set a custom [timeout](/serverless-containers/concepts/#timeout) for the duration of the requests received by your container.
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- Set a custom [timeout](/serverless-containers/concepts/#request-timeout) for the duration of the requests received by your container.
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- Tick the box under [HTTP protocol](/serverless-containers/concepts/#protocol) to listen to HTTP/2 requests if it is required by your application. Otherwise, we recommend you use HTTP/1.
Copy file name to clipboardexpand all lines: pages/serverless-functions/how-to/create-manage-delete-functions-namespace.mdx
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This page shows you how to create, manage, and delete a Functions namespace using the Scaleway console.
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[Namespaces](/serverless-functions/concepts/#namespace) allow you to group your [functions](/serverless-functions/concepts/#function) and share environment variables, secrets and tokens between them.
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[Namespaces](/serverless-functions/concepts/#namespace) allow you to group your [functions](/serverless-functions/concepts/#serverless-functions) and share environment variables, secrets and tokens between them.
Copy file name to clipboardexpand all lines: pages/serverless-functions/quickstart.mdx
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- serverless
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---
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Scaleway Serverless Functions makes your [functions](/serverless-functions/concepts/#function) available, executes them on demand and manages resource allocation for you.
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Scaleway Serverless Functions makes your [functions](/serverless-functions/concepts/#serverless-functions) available, executes them on demand and manages resource allocation for you.
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Functions are designed for lightweight and short-lived workloads, and are limited to [a selection of runtimes](/serverless-functions/reference-content/functions-runtimes/#available-runtimes) for optimum performance.
Copy file name to clipboardexpand all lines: tutorials/create-serverless-scraping/index.mdx
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3. Create a subdirectory `handlers` within the `scraper` directory, and add a `scrape_hn.py` file inside it.
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4. Complete the `scrape_hn.py` file by adding the function code [as shown in the repository](https://github.com/scaleway/serverless-examples/blob/main/mnq/serverless-scraping/scraper/handlers/scrape_hn.py). The main code blocks are briefly explained as follows:
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Queue credentials and URL are read by the function from environment variables. Those variables are set by Terraform/OpenTofu as explained in [one of the next sections](#create-a-terraform-file-to-provision-the-necessary-scaleway-resources). *If you choose another deployment method, such as the [console](https://console.scaleway.com/), do not forget to set them.*
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Queue credentials and URL are read by the function from environment variables. Those variables are set by Terraform/OpenTofu as explained in [one of the next sections](#create-a-terraformopentofu-file-to-provision-the-necessary-scaleway-resources). *If you choose another deployment method, such as the [console](https://console.scaleway.com/), do not forget to set them.*
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