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Merge pull request #8020 from ovh/YC-Fixes-20250617
Fixes on several pages
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pages/network/load_balancer/use_api_logs_2_customers/guide.fr-fr.md

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@@ -181,7 +181,7 @@ GET /ipLoadbalancing/{serviceName}/log/subscription/{subscriptionId}
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Maintenant que vos logs sont ingérés et stockés dans votre flux de données Logs Data Platform, vous pouvez interroger vos logs et créer des tableaux de bord pour avoir une représentation graphique de vos logs en utilisant l'interface web de Graylog.
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- Dans votre espace client, récupérez le nom d'utilisateur LDP (ex: logs-xxxx) et son mot de passe sur la page d'accueil de votre compte Logs Data Platform. Vous pouvez vous référer au [Guide de démarrage rapide pour Logs Data Platform](/pages/manage_and_operation/observability/logs_data_platform/getting_started_quick_start).
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- Dans votre espace client, récupérez le nom d'utilisateur LDP (ex: logs-xxxx) et son mot de passe sur la page d'accueil de votre compte Logs Data Platform. Vous pouvez vous référer au [Guide de démarrage rapide pour Logs Data Platform](/pages/manage_and_operate/observability/logs_data_platform/getting_started_quick_start).
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- Ouvrir l'interface utilisateur Graylog. Vous pouvez récupérer le lien sur la page d'accueil de votre compte ou en utilisant votre point d'accès en fonction de la région de votre compte (par exemple : la région de Gravelines est `https://gra1.logs.ovh.com/`).
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- Connectez-vous à Graylog en utilisant votre nom d'utilisateur et votre mot de passe Logs Data Platform.
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- Parcourez vos logs dans le flux de données de votre compte Logs Data Platform. Vous pouvez consulter la documentation [Graylog writing search queries (EN)](https://go2docs.graylog.org/current/making_sense_of_your_log_data/writing_search_queries.html){.external} pour plus de détails sur la syntaxe de recherche.

pages/public_cloud/quantum_computing/billing/guide.en-gb.md

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@@ -42,7 +42,7 @@ Quantum Notebooks is a **pay-per-use solution**. You only pay for the **resource
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- Workspace remote storage (Optional)
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- Ingress/Egress network traffic (Optional)
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Here is a detailed graph that illustrates every step that is billed or not during the AI Notebook workflow:
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Here is a detailed graph that illustrates every step that is billed or not during the Quantum Notebooks workflow:
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![billing](images/billing.png){.thumbnail}
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#### Example 1: one GPU notebook for 10 hours then deleted
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We start one AI Notebook, with two GPUs and we keep it running for 10 hours then we **delete it**.
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We start one Quantum Notebook, with two GPUs and we keep it running for 10 hours then we **delete it**.
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- compute resources: 2 x GPU NVIDIA V100s (1,93€ / hour)
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- remote storage: nothing
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#### Example 2: one GPU notebook for 10 hours but stopped, not deleted
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We start one AI Notebook, with two GPUs and we keep it running for 10 hours then we stop it and finally we **delete it after 10 days**.
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We start one Quantum Notebook, with two GPUs and we keep it running for 10 hours then we stop it and finally we **delete it after 10 days**.
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- compute resources: 2 x GPU NVIDIA V100s (1,93 / hour)
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- remote storage: nothing
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#### Example 3: one GPU notebook for 10 hours with 1TB remote storage
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We start one AI Notebook, with two GPUs and 1TB remote storage. We keep it running for 10 hours then we delete it.
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We start one Quantum Notebook, with two GPUs and 1TB remote storage. We keep it running for 10 hours then we delete it.
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- compute resources: 2 x GPU NVIDIA V100s (1,93 / hour)
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- remote storage: 1TB in OVHcloud Object Storage

pages/public_cloud/quantum_computing/capabilities/guide.en-gb.md

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You can then access your metrics through the `Monitoring Url`.
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You are also able to check it from the [OVHcloud Control Panel](/links/mnager) in your notebook's general information by clicking the `Go to Graph Dashboard`{.action} button.
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You are also able to check it from the [OVHcloud Control Panel](/links/manager) in your notebook's general information by clicking the `Go to Graph Dashboard`{.action} button.
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### Planned features
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With VS Code, you get the capability to use remote connections (from a local computer).
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### Pre-installed AI environments
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### Pre-installed Quantum environments
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OVHcloud Quantum Notebooks comes with pre-installed AI environments.
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OVHcloud Quantum Notebooks comes with pre-installed Quantum environments.
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List of available AI Environments:
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List of available Quantum Environments:
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- Alice & Bob Felis
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pages/public_cloud/quantum_computing/getting-started-emulators/guide.en-gb.md

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>> At the end of the process, review your settings and click the `Order now`{.action} button to confirm and launch the creation of your Notebook. You will be redirected to you notebook dashboard:
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>> ![Create a Notebook Control Panel manager 10](images/creating-a-notebook-using-UI-08.png){.thumbnail}
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>> ![Create a Notebook Control Panel manager 10](images/creating-a-notebook-using-UI-08b.png){.thumbnail}
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>> > [!primary]
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>> >
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>> ![Notebook Authentication Token](images//notebook-authentication-token.png){.thumbnail}
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### Stopping a Quantum Notebook
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You can stop your Quantum Notebook at any time to release its compute resources. This will release its compute resources but will keep your Notebook data and installed libraries. Therefore, you will not incur any further charges for compute unless you restart the Notebook. However, attached storage will be billed at the price of OVHcloud Object Storage (consult the [Quantum Notebooks Billing documentation](/pages/public_cloud/quantum_computing/notebook_guide_billing_concept) for more information). To do so, follow these steps:
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You can stop your Quantum Notebook at any time to release its compute resources. This will release its compute resources but will keep your Notebook data and installed libraries. Therefore, you will not incur any further charges for compute unless you restart the Notebook. However, attached storage will be billed at the price of OVHcloud Object Storage (consult the [Quantum Notebooks Billing documentation](/pages/public_cloud/quantum_computing/billing) for more information). To do so, follow these steps:
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> [!tabs]
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> **Using the Control Panel (UI)**
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pages/public_cloud/quantum_computing/troubleshooting/guide.en-gb.md

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To verify your usage metrics, go to the `Public Cloud`{.action} section of the [OVHcloud Control Panel](/links/manager) and select `Quantum Notebooks`{.action}. All your notebooks will be listed. Click on your notebook to check its information. In `Resources`{.action}, you can then access the monitoring of your resources via the `Graph Dashboard`.
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Please note that each AI Notebook is limited to a maximum amount of CPUs and GPUs. You can refer to the Quantum Notebooks [Capabilities and Limitations](/pages/public_cloud/quantum_computing/capabilities) guide.
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Please note that each Quantum Notebook is limited to a maximum amount of CPUs and GPUs. You can refer to the Quantum Notebooks [Capabilities and Limitations](/pages/public_cloud/quantum_computing/capabilities) guide.
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///
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