Added self-hosted bcm install by SherinDaher-Runai · Pull Request #1456 · run-ai/docs

+    apiVersion: metallb.io/v1beta1
+    kind: IPAddressPool
+    metadata:
+      name: ingress-pool
+      namespace: metallb-system
+    spec:
+      addresses:
+        - <RESERVED IP>/32
+    autoAssign: false
+    serviceAllocation:
+        priority: 50
+        namespaces:
+        - ingress-nginx


Suggested change

apiVersion: metallb.io/v1beta1

kind: IPAddressPool

metadata:

name: ingress-pool

namespace: metallb-system

spec:

addresses:

- <RESERVED IP>/32

autoAssign: false

serviceAllocation:

priority: 50

namespaces:

- ingress-nginx

apiVersion: metallb.io/v1beta1

kind: IPAddressPool

metadata:

name: ingress-pool

namespace: metallb-system

spec:

addresses:

- 192.168.0.250-192.168.0.251 # Example of two ip address -

autoAssign: false

serviceAllocation:

priority: 61

namespaces:

- ingress-nginx

- knative-serving

You can select the EXACT IP you want for each service -

kubectl -n kourier-system patch svc kourier
--type='merge'
-p '{"spec": {"type": "LoadBalancer", "loadBalancerIP": "192.168.0.250"}}'

kubectl -n ingress-nginx patch svc ingress-nginx-controller --type='merge' -p '{"spec": {"type": "LoadBalancer", "loadBalancerIP": "192.168.0.251"}}'

github-actions · 2025-04-24T09:24:12Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-04-24T10:20:59Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

roir · 2025-04-29T11:32:38Z

docs/admin/runai-setup/self-hosted/bcm/system-requirements.md

+| Component  | Required Capacity |
+| ---------- | ----------------- |
+| CPU        | 2 cores           |
+| Memory     | 16GB              |
+| Disk space | 100GB             |
+
+### NVIDIA Run:ai - System Nodes
+
+This configuration is the minimum requirement you need to install and use NVIDIA Run:ai.
+
+| Component  | Required Capacity |
+| ---------- | ----------------- |
+| CPU        | 20 cores          |
+| Memory     | 42GB              |
+| Disk space | 160GB             |
+
+
+To designate nodes to NVIDIA Run:ai system services, follow the instructions as described in [Label the NVIDIA Run:ai System Nodes](#label-the-nvidia-runai-system-nodes).
+
+
+### NVIDIA Run:ai - Worker Nodes
+
+NVIDIA Run:ai supports NVIDIA SuperPods built on the A100, H100, H200, and B200 GPU architectures. These systems are optimized for high-performance AI workloads at scale.
+
+The following configuration represents the minimum hardware requirements for installing and operating NVIDIA Run:ai on worker nodes. Each node must meet these specifications:
+
+| Component | Required Capacity |
+| --------- | ----------------- |
+| CPU       | 2 cores           |
+| Memory    | 4GB               |
+
+


imo this section is confusing.
there are 3 tables that tell different numbers.
i'm a simple customer, let me know what i need to do with only a single table and not 3

docs/admin/runai-setup/self-hosted/bcm/system-requirements.md

ofir-eldar1 · 2025-05-28T09:40:23Z

docs/admin/runai-setup/self-hosted/bcm/system-requirements.md

+* An nvIPAM IP address pool
+* SR-IOV InfiniBand networks
+
+The above CRD YAML specs can be downloaded from the following Gitlab repo: https://gitlab-master.nvidia.com/kuberpod/runai-deployment-assets. TBD: Should we add these yaml files 


Files should be shared with external link and not gitlab repo link.
Partners/etc will not have access to Nvidia gitlab.

docs/admin/runai-setup/self-hosted/bcm/install-control-plane.md

ofir-eldar1 · 2025-05-28T09:54:44Z

docs/admin/runai-setup/self-hosted/bcm/install-control-plane.md

+Run the following command. Replace `global.domain=<DOMAIN>` with the one  obtained [here](./system-requirements.md#fully-qualified-domain-name-fqdn)
+
+```bash
+helm upgrade -i runai-backend -n runai-backend runai-backend/control-plane \


This will fail for airgapped superpods as there is no access to external-public chart repositories.
Consider adding Connected/airgapped options, same options we have for self-hosted control-plane installation.

If superpod is connected, we need to pull the chart first with the following:

helm repo add runai-backend https://runai.jfrog.io/artifactory/cp-charts-prod helm repo update

docs/admin/runai-setup/self-hosted/bcm/system-requirements.md

Co-authored-by: Ofir Eldar <ofir.eldar.github@gmail.com>

github-actions · 2025-06-05T08:28:19Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-06-05T08:28:19Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-06-05T08:28:27Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-06-05T08:28:46Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-06-05T08:28:47Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

github-actions · 2025-06-05T08:29:03Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

Co-authored-by: Ofir Eldar <ofir.eldar.github@gmail.com>

github-actions · 2025-06-12T07:13:41Z

Preview environment URL: https://d161wck8lc3ih2.cloudfront.net/PR-1456/

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ozRunAI and others added 6 commits June 5, 2025 11:26

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