Linkfixes

Author: tcpdumpfbacke

pages/public_cloud/ai_machine_learning/cli_10_howto_install_cli/guide.en-gb.md

@@ -10,7 +10,7 @@ This guide covers the installation of the **ovhai** CLI. The CLI is the recommen
 
 ## Requirements
 
--   a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+-   a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 -   **AI Training activated** for your account, see [how to submit a job Step 2](/pages/public_cloud/ai_machine_learning/training_guide_02_howto_submit_job)
 -   a user for AI Tools, see [how to create a user](/pages/public_cloud/ai_machine_learning/gi_01_manage_users)
 

pages/public_cloud/ai_machine_learning/deploy_guide_01_capabilities/guide.en-gb.md

@@ -111,7 +111,7 @@ If you choose `CPU`:
 
 - Memory and local storage resource is not customisable but scaled linearly with each additional CPU.
 
-The maximum amount of CPU/GPU, memory per CPU/GPU and local storage is available on the [OVHcloud website](https://www.ovhcloud.com/en-gb/public-cloud/prices/#ai-&-machine-learning), Control Panel and the `ovhai` CLI.
+The maximum amount of CPU/GPU, memory per CPU/GPU and local storage is available on the [OVHcloud website](/links/public-cloud/public-cloudprices/#ai-&-machine-learning), Control Panel and the `ovhai` CLI.
 
 ``` {.console}
 ovhai capabilities flavor list
@@ -126,7 +126,7 @@ For your information, the current limits are:
 
 Currently, we provide:
 
-- **NVIDIA V100S** ([pricing available here](https://www.ovhcloud.com/en-gb/public-cloud/prices/#ai-&-machine-learning)).
+- **NVIDIA V100S** ([pricing available here](/links/public-cloud/public-cloudprices/#ai-&-machine-learning)).
 
 ##### **Scaling**
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.de-de.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-asia.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-au.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-ca.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-gb.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-ie.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-sg.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-us.md

@@ -18,7 +18,7 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 ## Requirements
 
 - access to the [OVHcloud Control Panel](/links/manager)
-- a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- a [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
 
 ## Instructions
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/public-cloud/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.