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learn-pr/wwl-azure/implement-resilient-ai-ready-infrastructure/includes/3-implement-geo-redundant-storage-data.md

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## Understanding redundancy options for AI workloads
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Four storage redundancy tiers offer different levels of protection and cost trade-offs. Locally redundant storage (LRS) keeps three copies within a single datacenter and costs $0.0184 per GB monthly, providing 99.999999999% (11 nines) durability within that region. This durability percentage means that if you store 10,000 objects for a year, you statistically risk losing one object. LRS works well for development datasets where you can regenerate data from source systems if needed and regional outages don't impact business operations.
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Four storage redundancy tiers offer different levels of protection and cost trade-offs. Locally redundant storage (LRS) keeps three copies within a single datacenter, providing durability within that region. This durability percentage means that if you store 10,000 objects for a year, you statistically risk losing one object. LRS works well for development datasets where you can regenerate data from source systems if needed and regional outages don't impact business operations.
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Geo-redundant storage (GRS) extends this protection to a secondary region with six total copies and 99.99999999999999% (16 nines) durability, costing approximately $0.0460 per GB—about 2.5 times the LRS baseline. The more five nines of durability mean you reduce the risk of data loss by 100,000 times compared to LRS, critical for production training datasets that can't be recreated. However, standard GRS doesn't allow read access to the secondary region's data until you manually initiate a failover through the Azure portal or API, making it suitable for disaster recovery scenarios where you can tolerate hours of downtime during regional transitions.
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Geo-redundant storage (GRS) extends this protection to a secondary region with six total copies and high durability, about twice the LRS baseline. The more five nines of durability mean you reduce the risk of data loss by 100,000 times compared to LRS, critical for production training datasets that can't be recreated. However, standard GRS doesn't allow read access to the secondary region's data until you manually initiate a failover through the Azure portal or API, making it suitable for disaster recovery scenarios where you can tolerate hours of downtime during regional transitions.
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Read-access geo-redundant storage (RA-GRS) provides the same durability and replication as GRS but enables continuous read access to the secondary region's data without requiring failover. This becomes especially important when you need to serve inference requests from multiple geographic regions or want to validate that replicated data is current before an actual failover occurs. The cost remains the same as GRS at approximately $0.0460 per GB, but you gain the ability to configure your application to read from the secondary endpoint proactively, reducing recovery time objectives from hours to minutes.
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Read-access geo-redundant storage (RA-GRS) provides the same durability and replication as GRS but enables continuous read access to the secondary region's data without requiring failover. This becomes especially important when you need to serve inference requests from multiple geographic regions or want to validate that replicated data is current before an actual failover occurs. The cost remains the same as GRS, but you gain the ability to configure your application to read from the secondary endpoint proactively, reducing recovery time objectives from hours to minutes.
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:::image type="content" source="../media/enable-continuous-read-access-secondary-region.png" alt-text="Diagram showing how read-access geo-redundant storage provides durability and replication.":::
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Geo-zone-redundant storage (GZRS) combines zone redundancy within the primary region (three copies across different availability zones) with geo-redundancy to a secondary region, achieving the same 16-nines durability at approximately $0.0575 per GB. This pattern protects against both zone-level failures (datacenter-level outages within one region) and region-level failures simultaneously. Organizations choose GZRS for mission-critical AI data where they need maximum availability and can't tolerate even brief outages from single datacenter failures within their primary region.
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Geo-zone-redundant storage (GZRS) combines zone redundancy within the primary region (three copies across different availability zones) with geo-redundancy to a secondary region, achieving the same 16-nines durability. This pattern protects against both zone-level failures (datacenter-level outages within one region) and region-level failures simultaneously. Organizations choose GZRS for mission-critical AI data where they need maximum availability and can't tolerate even brief outages from single datacenter failures within their primary region.
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## Implementing soft delete and resource locks
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