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v2.13/admin/runai-setup/cluster-setup/cluster-prerequisites/| Prerequisites in a Nutshell | | Software Requirements | Operating System. Kubernetes. NVIDIA. Ingress Controller. Cluster URL. Prometheus. | Optional Software Requirements | Distributed Training. Inference. | Hardware Requirements | | User requirements | | Network Access Requirements | During Installation. Post Installation. Network Proxy. | Pre-install Script | https://docs.run.ai/v2.13/admin/runai-setup/cluster-setup/cluster-prerequisites/ |
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Replies: 5 comments 1 reply
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Please update to 16GB RAM for Production |
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@kirson-git Do you mean in this section? https://docs.run.ai/v2.13/admin/runai-setup/cluster-setup/cluster-prerequisites/#hardware-requirements? |
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On-Prem Tab for the Nvidia section is missing on 2.13 doc |
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It says "Follow the Getting Started guide to install the NVIDIA GPU Operator, or see the distribution-specific instructions below...." So there are a number of supported environments (including native k8s which you mention) that fall under this catch-all phrase... I will change to 16GB @kirson-git |
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The docs are inconsistent. There is supposed to be an On-prem tab just like
there is for 2.9. Not sure why you would get rid of an on-prem tab when
it’s the majority of deployment models.
On Mon, Jul 24, 2023 at 11:13 PM Yaron ***@***.***> wrote:
It says "Follow the Getting Started guide to install the NVIDIA GPU
Operator, or see the distribution-specific instructions below...." So there
are a number of supported environments (including native k8s which you
mention) that fall under this catch-all phrase...
Since you are the native English speaker here, you are welcome to
re-phrase it and send a pull request.
I will change to 16GB @kirson-git <https://github.com/kirson-git>
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Michael Burrows
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can runai work with vultr kubernetes engine? i dont see a way to access the admin dashboard, cant seem to get the url for the dashboard. |
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It says "Follow the Getting Started guide to install the NVIDIA GPU Operator, or see the distribution-specific instructions below...." So there are a number of supported environments (including native k8s which you mention) that fall under this catch-all phrase...
Since you are the native English speaker here, you are welcome to re-phrase it and send a pull request.
I will change to 16GB @kirson-git