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** Total time for deployment:** 30-45 minutes
ConfigurationRecommended Value
Nodes in the cluster’s core nodegroup4 (min) 5 (max) 4 (desired)
CPU per core node4 CPU
RAM per core node16 GiB RAM
Number of nodes in the cluster’s runners nodegroup1 (min) 5 (max) 1 (desired)
CPU per runner node8 CPU
RAM per runner node32 GiB RAM
Minimum volume size per node200 GiB
Required Kubernetes API version1.21
Storage classstandard

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Step 1: [Optional] Create a dedicated resource group for Galileo cluster

az group create --name galileo --location eastus

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Step 2: Provision an AKS cluster

az aks create -g galileo -n galileo --enable-managed-identity --node-count 4 --max-count 7 --min-count 4 -s Standard_D4_v4 --nodepool-name gcore --nodepool-labels "galileo-node-type=galileo-core" --enable-cluster-autoscaler

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Step 3: Add Galileo Runner nodepool

Az aks nodepool add -g galileo -n grunner --cluster-name galileo --node-count 1 --max-count 5 --min-count 1 --node-count 1 -s Standard_D8_v4 --labels "galileo-node-type=galileo-runner" --enable-cluster-autoscaler

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Step 4: Get cluster credentials

az aks get-credentials --resource-group galileo --name galileo

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Step 5: Apply Galileo manifest

kubectl apply -f galileo.yaml

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Step 6: Customer DNS Configuration

Galileo has 4 main URLs (shown below). In order to make the URLs accessible across the company, you have to set the following DNS addresses in your DNS provider after the platform is deployed.
ServiceURL
APIapi.galileo.company.[com|ai|io…]
Datadata.galileo.company.[com|ai|io…]
UIconsole.galileo.company.[com|ai|io…]
Grafanagrafana.galileo.company.[com|ai|io…]

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Creating a GPU-enabled Node Group

For specialized tasks that require GPU processing, such as machine learning workloads, Galileo supports the configuration of GPU-enabled node pools. The supported GPUs are H100, A100, L40S, L4 (shorter context window), A10 (shorter context window). And the corresponding node types are Standard_NC40ads_H100_v5, Standard_NC24ads_A100_v4, Standard_NV12ads_A10_v5.
  1. Node Group Creation: Create a node group with name galileo-ml, and label galileo-node-type=galileo-ml
  2. Reach out to Galileo to get exact number of GPUs needed for your load. But feel free to set min=1, max=5 by default.
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