Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
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I have below scenarios and I want to know is there any advantages in any of the scenarios.
I know that global standard capacity is for the subscription. So Scenario 1 and 2 will have the same limits.
What I want to know is,
Hello,
Welcome to Microsoft Q&A,
Key Comparisons:
Factor | Scenario 1 (Single Resource) | Scenario 2 (Multiple Resources) |
---|---|---|
Latency | Increased queue time, if multiple teams use the resource heavily | Reduced latency due to isolation |
Caching | Shared cache across teams | Per-resource cache (depends on usage patterns) |
Management Overhead | Easier (single resource) | Higher (multiple resources) |
Quota Management | Hard to enforce per-team quotas | Easier to allocate limits per team |
Scalability | Limited by a single resource | More scalable with multiple deployments |
Access Control | More complex (RBAC per deployment) | Simpler (RBAC per resource) |
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