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Microsoft Foundry deployment types: Global, Data Zone and Standard

Where prompts are processed for each deployment type, and which one meets data residency needs.

From Ultra Transcenders AI-300 by Tony Rough (publishing soon)

A deployment type decides where your prompts are processed, how much quota you get and whether requests are served interactively or in batches. Pick the type from the workload’s residency and latency requirements first, then from cost. Figure 7.1 lays the types out from the widest processing area to the tightest residency.

A grid with three processing scopes as columns: Global (any region with capacity), Data Zone (a zone such as US or EU that spans many regions) and Standard (regional, the resource's geography). The rows show the real-time, provisioned and batch variants for each scope: batch exists only for Global and Data Zone, and a note says residency within one Azure geography needs Standard (regional).
Figure 7.1: Deployment types by where prompts are processed
Deployment type Behaviour
Global Standard Routes to any region with capacity; highest default quota; for workloads used across many regions
Standard (regional) Processes data within the resource’s Azure geography (possibly across regions in that geography); the option when data must stay in one geography
Data Zone Standard Real-time pay-per-token within a data zone (e.g. US or EU); more quota than a Standard (regional) deployment
Global Batch / Data Zone Batch Asynchronous, target turnaround up to 24 hours; not interactive
Developer Evaluating fine-tuned models only; no SLA, not for production

The provisioned equivalents of Global, Data Zone and regional deployments are covered under provisioned throughput later in this chapter.

Common trap: choosing Data Zone Standard to keep a workload in one geography - a data zone spans many regions and countries; to keep processing within one Azure geography use Standard (regional).

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