Azure Artist Anywhere (AAA) is a modular & configurable Infrastructure as Code (IaC) solution deployment framework
for Azure HPC Rendering & Visualization. Ignite your remote artist creativity and productivity with Azure global scale
and distributed computing fleet innovation across Azure HPC Virtual Machines and Azure GPU Virtual Machines.
The following design principles are implemented throughout each AAA solution deployment framework module.
- Defense-in-depth layered security model with integration of core security services including Managed Identity,
Key Vault, Private Link / Endpoints, Private DNS, Network Security Groups, NAT Gateway, Monitor, Bastion, etc - Any custom software or 3rd-party software is supported in a Compute Gallery custom image repository
- Both single-region and multi-region deployment models are supported (Virtual Network per region)
- Clean separation of Terraform configuration files (config.*.auto.tfvars) and implementation files (*.tf)
Module Name | Module Description | Required for Burst Render? (Compute Only) |
Required for Full Solution? (Compute & Storage) |
---|---|---|---|
0 Global Foundation | Defines global config (Azure region) and foundation services (Terraform state storage, Managed Identity). | Yes | Yes |
1 Virtual Network | Deploys Virtual Network with VPN or ExpressRoute gateway services. |
Yes, if Virtual Network is not yet deployed | Yes, if Virtual Network is not yet deployed |
2 Image Builder | Deploys Image Builder and Compute Gallery with image customize scripts. | No, use your custom images via image.id | No, use your custom images via image.id |
3 File Storage | Deploys native (Blob [NFS], Files, NetApp Files, Qumulo) or hosted (Weka, Hammerspace) storage. | No | Yes |
4 File Cache | Deploys HPC Cache or Avere vFXT cache clusters for highly-scalable storage file caching near compute. | Yes | No |
5 Render Manager | Deploys Virtual Machines for render job scheduling and management. | No | No |
6 Render Farm | Deploys Virtual Machine Scale Sets for scalable render farm compute. |
Yes, Azure OpenAI (DALL-E 3) is optional | Yes, Azure OpenAI (DALL-E 3) is optional |
7 Artist Workstation | Deploys Virtual Machines for remote artist workstations with HP Anyware. | No | No |
The following installation process is required for local deployment orchestration.
- Make sure the Azure CLI is installed locally and accessible in your PATH environment variable.
- Make sure the Terraform CLI is installed locally and accessible in your PATH environment variable.
- Run
az login
locally to authenticate into your Azure account. This is how Terraform connects to Azure. - Run
az account show
to ensure your current Azure subscription context is set as expected.
To change your current Azure subscription context, runaz account set --subscription <subscriptionId>
- Clone this GitHub repo to your local workstation for module configuration and deployment orchestration.
For each module, here is the recommended configuration and deployment process. IMPORTANT: Key Vault is a core security service integrated throughout the Azure Artist Anywhere solution deployment framework. Therefore, the current user deploying the solution must have the Key Vault Administrator role assigned via Role-Based Access Control (RBAC).
- Review and edit the config values in
config.\*.auto.tfvars
as needed for your target deployment.- For module
0 Global Foundation
, review and edit the following config files.module/backend.config
module/variables.tf
- For modules
2 Image Builder
,5 Render Manager
,6 Render Farm
and7 Artist Workstation
,- Make sure you have sufficient compute cores quota available on your Azure subscription for each configured virtual machine size.
- By default, Spot is enabled in module
6 Render Farm
configuration. Therefore, Spot cores quota should be approved for your Azure subscription and target region(s).
- For modules
5 Render Manager
,6 Render Farm
and7 Artist Workstation
, make sure each image.id config references the correct custom image in your Azure subscription.
- For module
- For module
0 Global Foundation
, runterraform init
to initialize the module local directory (append-upgrade
if older providers are detected). - For all modules except
0 Global Foundation
, runterraform init -backend-config ../0.Global.Foundation/config/backend.config
to initialize the module local directory (append-upgrade
if older providers are detected). - Run
terraform apply
to generate the Terraform deployment Plan (append-destroy
to delete Azure resources). - Review the Terraform deployment Plan before confirming to add, change and/or destroy Azure resources.
- For module
2 Image Builder
to build virtual machine images, use the Azure portal or Image Builder CLI to start image build runs as needed.
- For module
The following sample images were rendered on Azure via multiple render farm, engine and job submission options.
The following Disney Moana Island scene was rendered on Azure via the Physically-Based Ray Tracer (PBRT) v4 render engine.
To render the Disney Moana Island scene on an Azure Linux render farm, the following job submission command can be submitted from a Linux and/or Windows artist workstation.
deadlinecommand -SubmitCommandLineJob -name moana-island -executable pbrt -arguments "--outfile /mnt/content/pbrt/moana/island-v4.png /mnt/content/pbrt/moana/island/pbrt-v4/island.pbrt"
To render the Disney Moana Island scene on an Azure Windows render farm, the following job submission command can be submitted from a Linux and/or Windows artist workstation.
deadlinecommand -SubmitCommandLineJob -name moana-island -executable pbrt.exe -arguments "--outfile X:\pbrt\moana\island-v4.png X:\pbrt\moana\island\pbrt-v4\island.pbrt"
The following Blender 3.4 Splash screen was rendered on Azure via the Blender render engine.
To render the Blender Splash screen on an Azure Linux render farm, the following job submission command can be submitted from a Linux and/or Windows artist workstation.
deadlinecommand -SubmitCommandLineJob -name blender-splash -executable blender -arguments "--background /mnt/content/blender/3.4/splash.blend --render-output /mnt/content/blender/3.4/splash --enable-autoexec --render-frame 1"
To render the Blender Splash screen on an Azure Windows render farm, the following job submission command can be submitted from a Linux and/or Windows artist workstation.
deadlinecommand -SubmitCommandLineJob -name blender-splash -executable blender.exe -arguments "--background X:\blender\3.4\splash.blend --render-output X:\blender\3.4\splash --enable-autoexec --render-frame 1"
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