Scalable Disk Storage for High-Performance AI Workloads
PythonWhen building infrastructure for high-performance AI workloads, selecting a scalable disk storage solution is crucial. For cloud infrastructure on Azure, we can leverage Azure NetApp Volumes. This is a high-performance storage solution that can be dynamically scaled to accommodate AI workload demands. It provides low-latency file access suited to running advanced AI applications.
In the program below, we're going to create a NetApp Volume in Azure using Pulumi's
azure-native.netapp.Volume
resource. This volume will be part of a NetApp account and capacity pool, which must be created first if they do not already exist. A subnet dedicated to the NetApp account is also required for network delegation.Here's what each component is for:
NetApp Account
: This is the main container for your Azure NetApp files workload. It contains capacity pools and volumes.Capacity Pool
: This represents a pool of capacity that volumes can be placed into. It defines service level (performance) and size.Volume
: This is the data repository within a capacity pool. It represents the file system you'll use to store and manage your files.
Here's a Pulumi program that sets up a scalable disk storage solution suitable for high-performance AI workloads using Azure NetApp:
import pulumi import pulumi_azure_native as azure_native # Define your resource group where all Azure NetApp resources will live. resource_group = azure_native.resources.ResourceGroup("ai_workload_rg") # Create an Azure NetApp account within the resource group. netapp_account = azure_native.netapp.Account("aiNetappAccount", resource_group_name=resource_group.name, location=resource_group.location) # Create a capacity pool within the NetApp account for our volumes. capacity_pool = azure_native.netapp.CapacityPool("aiCapacityPool", resource_group_name=resource_group.name, account_name=netapp_account.name, location=resource_group.location, service_level="Premium", # Chosen for high performance, other levels include "Standard" and "Ultra". size=4398046511104 # Size in bytes (4TiB) adjust based on your needs. ) # Create a subnet and enables delegation to NetApp. Replace 'virtual_network_name' and # 'subnet_name' with the names of the existing VNet and subnet where you want to delegate to NetApp. subnet_id = pulumi.Output.format("/subscriptions/{subscription_id}/resourceGroups/{resource_group_name}/providers/Microsoft.Network/virtualNetworks/{virtual_network_name}/subnets/{subnet_name}", subscription_id=pulumi.config.require("subscriptionId"), resource_group_name=resource_group.name, virtual_network_name="YourVirtualNetwork", subnet_name="YourSubnet" ) # Create the NetApp volume within the capacity pool. netapp_volume = azure_native.netapp.Volume("aiNetappVolume", resource_group_name=resource_group.name, account_name=netapp_account.name, pool_name=capacity_pool.name, location=resource_group.location, volume_type="Data", # We select "Data" for typical data storage use cases. usage_threshold=107374182400, # 100 GiB limit, adjust based on your needs. subnet