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Azure rendering solution deployment framework
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@ -17,8 +17,8 @@ The following *core design principles* are implemented throughout the AAA soluti
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| [3 Storage](#3-storage) | Deploys [Blob (NFS v3 with sample content)](https://learn.microsoft.com/azure/storage/blobs/network-file-system-protocol-support), [Files](https://learn.microsoft.com/azure/storage/files/storage-files-introduction), [NetApp Files](https://learn.microsoft.com/azure/azure-netapp-files/azure-netapp-files-introduction) or [Hammerspace](https://azuremarketplace.microsoft.com/marketplace/apps/hammerspace.hammerspace_4_6_5) storage. | No | Yes |
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| [4 Storage Cache](#4-storage-cache) | Deploys [HPC Cache](https://learn.microsoft.com/azure/hpc-cache/hpc-cache-overview) or [Avere vFXT](https://learn.microsoft.com/azure/avere-vfxt/avere-vfxt-overview) for highly-available and scalable file caching. | Yes | Maybe, depends on your<br>render scale requirements |
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| [5 Compute Image](#5-compute-image) | Deploys [Compute Gallery](https://learn.microsoft.com/azure/virtual-machines/shared-image-galleries) images that are built via the managed [Image Builder](https://learn.microsoft.com/azure/virtual-machines/image-builder-overview) service. | No, specify your custom *imageId* reference [here](https://github.com/Azure/Avere/blob/main/src/terraform/examples/e2e/7.compute.farm/config.auto.tfvars#L10) | No, specify your custom *imageId* reference [here](https://github.com/Azure/Avere/blob/main/src/terraform/examples/e2e/7.compute.farm/config.auto.tfvars#L10) |
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| [6 Compute Scheduler](#6-compute-scheduler) | Deploys [Virtual Machines](https://learn.microsoft.com/azure/virtual-machines) for job scheduling with optional [CycleCloud](https://learn.microsoft.com/azure/cyclecloud/overview) integration. | No, continue to use your current job scheduler | No, specify your custom *imageId* reference [here](https://github.com/Azure/Avere/blob/main/src/terraform/examples/e2e/6.compute.scheduler/config.auto.tfvars#L10) |
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| [7 Compute Farm](#7-compute-farm) | Deploys [Virtual Machine Scale Sets](https://learn.microsoft.com/azure/virtual-machine-scale-sets/overview) for [Linux](https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/linux_virtual_machine_scale_set) and/or [Windows](https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/windows_virtual_machine_scale_set) render farms. | Yes, if [CycleCloud](https://learn.microsoft.com/azure/cyclecloud/overview) not deployed. Otherwise, No | Yes, if [CycleCloud](https://learn.microsoft.com/azure/cyclecloud/overview) not deployed. Otherwise, No |
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| [6 Compute Scheduler](#6-compute-scheduler) | Deploys [Virtual Machines](https://learn.microsoft.com/azure/virtual-machines) for job scheduling with optional [CycleCloud](https://learn.microsoft.com/azure/cyclecloud/overview) integration. | No, continue to use your current render manager | No, continue to use your current render manager |
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| [7 Compute Farm](#7-compute-farm) | Deploys [Virtual Machine Scale Sets](https://learn.microsoft.com/azure/virtual-machine-scale-sets/overview) for [Linux](https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/linux_virtual_machine_scale_set) and/or [Windows](https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/windows_virtual_machine_scale_set) render farms. | Yes | Yes |
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| [8 Compute Workstation](#8-compute-workstation) | Deploys [Virtual Machines](https://learn.microsoft.com/azure/virtual-machines) for [Linux](https://learn.microsoft.com/azure/virtual-machines/linux/overview) and/or [Windows](https://learn.microsoft.com/azure/virtual-machines/windows/overview) remote artist workstations. | No | Yes |
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| [9 GitOps](#9-gitops) | Enables [Terraform Plan](https://www.terraform.io/cli/commands/plan) and [Apply](https://www.terraform.io/cli/commands/apply) workflows via [GitHub Actions](https://docs.github.com/actions) triggered by [Pull Requests](https://docs.github.com/pull-requests). | No | No |
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| [10 Render](#10-render) | Submits render farm jobs from [Linux](https://learn.microsoft.com/azure/virtual-machines/linux/overview) and/or [Windows](https://learn.microsoft.com/azure/virtual-machines/windows/overview) remote artist workstations. | No | No |
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