Sample Files

inventory file

Caution

All the file contents mentioned below are case sensitive.

#Batch Scheduler: Slurm

[slurm_control_node]

10.5.1.101

[slurm_node]

10.5.1.103

10.5.1.104

[login]

10.5.1.105

#General Cluster authentication server

[auth_server]

10.5.1.106

#AI Scheduler: Kubernetes

[kube_control_plane]

10.5.1.101

[etcd]

10.5.1.101

[kube_node]

10.5.1.102

10.5.1.103

10.5.1.104

10.5.1.105

10.5.1.106

Note

For Slurm, all the applicable inventory groups are slurm_control_node, slurm_node, and login.
For Kubernetes, all the applicable groups are kube_control_plane, kube_node, and etcd.
The centralized authentication server inventory group, that is auth_server, is common for both Slurm and Kubernetes.
For secure login node functionality, ensure to add the login group in the provided inventory file.

software_config.json for Ubuntu

{
    "cluster_os_type": "ubuntu",
    "cluster_os_version": "22.04",
    "repo_config": "partial",
    "softwares": [
        {"name": "amdgpu", "version": "6.3.1"},
        {"name": "cuda", "version": "12.8.0"},
        {"name": "bcm_roce", "version": "232.1.133.2"},
        {"name": "ofed", "version": "24.01-0.3.3.1"},
        {"name": "openldap"},
        {"name": "secure_login_node"},
        {"name": "nfs"},
        {"name": "beegfs", "version": "7.4.5"},
        {"name": "k8s", "version":"1.31.4"},
        {"name": "roce_plugin"},
        {"name": "jupyter"},
        {"name": "kubeflow"},
        {"name": "kserve"},
        {"name": "pytorch"},
        {"name": "tensorflow"},
        {"name": "vllm"},
        {"name": "telemetry"},
        {"name": "ucx", "version": "1.15.0"},
        {"name": "openmpi", "version": "4.1.6"},
        {"name": "intelgaudi", "version": "1.19.2-32"},
        {"name": "csi_driver_powerscale", "version":"v2.13.0"}
    ],

    "bcm_roce": [
        {"name": "bcm_roce_libraries", "version": "232.1.133.2"}
    ],
    "amdgpu": [
        {"name": "rocm", "version": "6.3.1" }
    ],
    "intelgaudi": [
        {"name": "intel"}
    ],
    "vllm": [
        {"name": "vllm_amd"},
        {"name": "vllm_nvidia"}
    ],
    "pytorch": [
        {"name": "pytorch_cpu"},
        {"name": "pytorch_amd"},
        {"name": "pytorch_nvidia"},
        {"name": "pytorch_gaudi"}
    ],
    "tensorflow": [
        {"name": "tensorflow_cpu"},
        {"name": "tensorflow_amd"},
        {"name": "tensorflow_nvidia"}
    ]
}

software_config.json for RHEL/Rocky Linux

Note

For Rocky Linux OS, the cluster_os_type in the below sample will be rocky.

{
    "cluster_os_type": "rhel",
    "cluster_os_version": "8.8",
    "repo_config": "partial",
    "softwares": [
        {"name": "amdgpu", "version": "6.3.1"},
        {"name": "cuda", "version": "12.8.0"},
        {"name": "ofed", "version": "24.01-0.3.3.1"},
        {"name": "freeipa"},
        {"name": "openldap"},
        {"name": "secure_login_node"},
        {"name": "nfs"},
        {"name": "beegfs", "version": "7.4.5"},
        {"name": "slurm"},
        {"name": "k8s", "version":"1.31.4"},
        {"name": "jupyter"},
        {"name": "kubeflow"},
        {"name": "kserve"},
        {"name": "pytorch"},
        {"name": "tensorflow"},
        {"name": "vllm"},
        {"name": "telemetry"},
        {"name": "intel_benchmarks", "version": "2024.1.0"},
        {"name": "amd_benchmarks"},
        {"name": "utils"},
        {"name": "ucx", "version": "1.15.0"},
        {"name": "openmpi", "version": "4.1.6"},
        {"name": "csi_driver_powerscale", "version":"v2.13.0"}
    ],

    "amdgpu": [
        {"name": "rocm", "version": "6.3.1" }
    ],
    "vllm": [
        {"name": "vllm_amd"},
        {"name": "vllm_nvidia"}
    ],
    "pytorch": [
        {"name": "pytorch_cpu"},
        {"name": "pytorch_amd"},
        {"name": "pytorch_nvidia"}
    ],
    "tensorflow": [
        {"name": "tensorflow_cpu"},
        {"name": "tensorflow_amd"},
        {"name": "tensorflow_nvidia"}
    ]

}

inventory file for additional NIC and Kernel parameter configuration

Note

You can use either node IPs, service tags, or hostnames, or any combination of them in the inventory file below.

Choose fom any of the templates provided below:

#---------Template1---------

[cluster1]
10.5.0.1
10.5.0.2

[cluster1:vars]
Categories=category-1

#---------Template2---------

[cluster2]
10.5.0.5 Categories=category-4
10.5.0.6 Categories=category-5

#---------Template3---------

10.5.0.3 Categories=category-2
10.5.0.4 Categories=category-3

inventory file to delete node from the cluster

[nodes]
10.5.0.33

pxe_mapping_file.csv

SERVICE_TAG,HOSTNAME,ADMIN_MAC,ADMIN_IP,BMC_IP
XXXXXXX,n1,xx:yy:zz:aa:bb:cc,10.5.0.101,10.3.0.101
XXXXXXX,n2,aa:bb:cc:dd:ee:ff,10.5.0.102,10.3.0.102

switch_inventory

10.3.0.101
10.3.0.102

powervault_inventory

10.3.0.105

NFS Server inventory file

#General Cluster Storage
#NFS node
[nfs]
#node10

Inventory for iDRAC telemetry

[idrac]
10.10.0.1

Note

Only iDRAC/BMC IPs should be provided.

If you have any feedback about Omnia documentation, please reach out at omnia.readme@dell.com.