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chore(gen): docs content review 2024-09-23 (#3735)
* chore(gen): docs content review 2024-09-23 * Update ai-data/managed-inference/how-to/create-deployment.mdx Co-authored-by: Jessica <[email protected]> * fix(genapi): fix typo --------- Co-authored-by: Jessica <[email protected]>
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ai-data/generative-apis/how-to/use-structured-outputs.mdx

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<Message type="note">
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- All LLMs on the Scaleway library support **JSON mode** and **Structured outputs**, however, the quality of results will vary in the schemaless JSON mode.
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- JSON mode: It is important to explicitly ask the model to generate a JSON output either in system prompt or user prompt. To prevent infinite generations, model providers most often encourage to ask the model for short JSON objects.
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- JSON mode: It is important to explicitly ask the model to generate a JSON output either in system prompt or user prompt. To prevent infinite generations, model providers most often encourage users to ask the model for short JSON objects.
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- Structured outputs: Scaleway supports the [JSON schema specification](https://json-schema.org/specification/) including nested schemas composition (`anyOf`, `allOf`, `oneOf` etc), `$ref`, `all` types, and regular expressions.
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</Message>
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ai-data/managed-inference/how-to/create-deployment.mdx

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---
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meta:
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title: How to create a deployment
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description: This page explains how to create a deployment
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title: How to deploy a model on Scaleway Managed Inference
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description: This page explains how to deploy a model on Scaleway Managed Inference
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content:
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h1: How to create a deployment
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paragraph: This page explains how to create a deployment
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h1: How to deploy a model on Scaleway Managed Inference
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paragraph: This page explains how to deploy a model on Scaleway Managed Inference
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tags: managed-inference ai-data creating dedicated
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dates:
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validation: 2024-03-23
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validation: 2024-09-23
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posted: 2024-03-06
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---
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- [Owner](/identity-and-access-management/iam/concepts/#owner) status or [IAM permissions](/identity-and-access-management/iam/concepts/#permission) allowing you to perform actions in the intended Organization
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1. Click the **AI & Data** section of the [Scaleway console](https://console.scaleway.com/), and select **Managed Inference** from the side menu to access the Managed Inference dashboard.
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2. Click **Create deployment** to launch the deployment creation wizard.
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2. Click **Deploy a model** to launch the model deployment wizard.
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3. Provide the necessary information:
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- Select the desired model and quantization to use for your deployment [from the available options](/ai-data/managed-inference/reference-content/)
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<Message type="note">
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- Enabling both private and public networks will result in two distinct endpoints (public and private) for your deployment.
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- Deployments must have at least one endpoint, either public or private.
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</Message>
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6. Click **Create deployment** to launch the deployment process. Once the deployment is ready, it will be listed among your deployments.
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6. Click **Deploy model** to launch the deployment process. Once the model is ready, it will be listed among your deployments.

bare-metal/elastic-metal/how-to/kubernetes-on-riscv.mdx

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meta:
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title: How to run Kubernetes nodes on RISC-V
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description: This page explains how to use your EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
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description: This page explains how to use your Scaleway EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
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content:
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h1: How to run Kubernetes nodes on RISC-V
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paragraph: This page explains how to use your EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
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paragraph: This page explains how to use your Scaleway EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
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tags: kosmos riscv elastic-metal
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dates:
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validation: 2024-03-22
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validation: 2024-09-23
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posted: 2024-03-22
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categories:
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- bare-metal

containers/kubernetes/reference-content/version-support-policy.mdx

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meta:
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title: Kubernetes version support policy
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description: This page explains the Kubernetes version support policy
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description: This page explains Scaleway's Kubernetes version support policy
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content:
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h1: Kubernetes version support policy
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paragraph: This page explains the Kubernetes version support policy
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paragraph: This page explains Scaleway's Kubernetes version support policy
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tags: kubernetes support-policy
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dates:
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validation: 2024-03-19
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validation: 2024-09-23
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posted: 2022-04-04
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categories:
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- kubernetes

menu/navigation.json

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{
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"items": [
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{
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"label": "Create a deployment",
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"label": "Deploy a model",
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"slug": "create-deployment"
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},
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{

tutorials/migrate-data-rclone/index.mdx

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meta:
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title: Migrating Object Storage data with Rclone
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description: This page shows you how to migrate Object Storage data from one region to another with Rclone
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title: Migrating Scaleway Object Storage data with Rclone
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description: This page shows you how to migrate Scaleway Object Storage data from one region to another with Rclone
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content:
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h1: Migrating Object Storage data with Rclone
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paragraph: This page shows you how to migrate Object Storage data from one region to another with Rclone
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h1: Migrating Scaleway Object Storage data with Rclone
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paragraph: This page shows you how to migrate Scaleway Object Storage data from one region to another with Rclone
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categories:
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- instances
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- object-storage
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tags: Rclone object-storage
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dates:
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validation: 2024-02-26
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validation: 2024-09-23
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posted: 2019-03-20
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---
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