Azure OpenAI Deployment Types and Resiliency - Understanding Models, Capacity, and High Availability

Azure OpenAI Deployment Types and Resiliency - Understanding Models, Capacity, and High Availability

John Savill's Technical Training via YouTube Direct link

- Model deployment types

6 of 25

6 of 25

- Model deployment types

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Classroom Contents

Azure OpenAI Deployment Types and Resiliency - Understanding Models, Capacity, and High Availability

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  1. 1 - Introduction
  2. 2 - Generative API is stateless
  3. 3 - Regional Azure OpenAI resource
  4. 4 - Capacity pools
  5. 5 - Responsible AI
  6. 6 - Model deployment types
  7. 7 - Standard
  8. 8 - Global
  9. 9 - Network vs inference latency
  10. 10 - Intelligent routing
  11. 11 - Quota vs available capacity
  12. 12 - Data zone and data residency
  13. 13 - Availability benefits?
  14. 14 - Resource is regional
  15. 15 - Multiple regional resources
  16. 16 - Enabling in the application
  17. 17 - API Management
  18. 18 - Prompt caching impact
  19. 19 - Provisioned service
  20. 20 - PayGo features
  21. 21 - PTU features
  22. 22 - Azure reservations
  23. 23 - Batch service
  24. 24 - Summary
  25. 25 - Close

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