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[EN-GB] AI Comparative Tables - minor fixes
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pages/public_cloud/ai_machine_learning/gi_00_ai_comparative-table/guide.en-gb.md

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@@ -17,7 +17,7 @@ OVHcloud AI tools work inside our Public Cloud ecosystem. Once logged in to your
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- **AI Training**
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- **AI Deploy**
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Each of them are autonomous tools, billed per minute and with shared elements, such as security tokens, etc.
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Each of them is an autonomous tool, billed per minute and with shared elements, such as security tokens, etc.
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All AI Tools have access to OVHcloud Object Storage as a central point, allowing you to work with your data securely and easily.
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| Product offers | AI Notebooks | AI Training | AI Deploy |
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|-------------------|----------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|
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| Description | Managed Jupyter or VSCode notebook, linked to compute resources (CPU or GPU) and storage. | Automate your trainings, deploy your own Docker container, linked to compute resources (CPU of GPU), and attached storage. | Deploy with high-availability your own AI application and models via Docker containers or select one from our catalog |
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| Description | Managed Jupyter or VSCode notebook, linked to compute resources (CPU or GPU) and storage. | Automate your trainings, deploy your own Docker container, linked to compute resources (CPU or GPU), and attached storage. | Deploy with high-availability your own AI application and models via Docker containers or select one from our catalog |
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| Billing Resources | per minute | per minute | per minute |
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| AI Features | AI Notebooks | AI Training | AI Deploy |
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|--------------------------------------------------------------------------------------------------------------------|----------------------------|----------------------------|----------------------------|
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| Managed Jupyter Notebook with preinstalled libraries | X | | |
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| Managed VSCode Notebook with preinstalled libraries | X | | |
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| Automate Training phases (timeout, grid computing, ...) | | X | |
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| Bring your own Docker image (with notebooks inside, models, whatever) and connect to compute and storage resources | | X | X |
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| Bring your own Docker image (with notebooks inside, models, etc.) and connect to compute and storage resources | | X | X |
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| Deploy your managed applications and models with high-availability | | | X |
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| Deploy AI applications from a catalog made with partners | | | X |
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@@ -55,7 +55,7 @@ We schematize our AI offers this way:
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| GPU flavors available | ai1-1-GPU | ai1-1-GPU | ai1-1-GPU |
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| RAM Memory | X | X | X |
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| Dask computing | | X | |
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| Cold-patch resources (adjust gpu/cpu/, attached storage) | X | | |
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| Cold-patch resources (adjust GPU/CPU, attached storage) | X | | |
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| Local SSD-NVMe storage | X | X | X |
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| Local SSD-NVMe storage size | depends on selected flavors | depends on selected flavors | depends on selected flavors |
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| Ability to attach a remote storage (Object Storage) | X | X | X |

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