A dive into how Azure OpenAI works, what different deployment types mean for your use and how to think about the high availability of your deployments.
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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 – Introduction
00:21 – Generative API is stateless
02:21 – Regional Azure OpenAI resource
04:54 – Capacity pools
08:27 – Responsible AI
09:27 – Model deployment types
11:21 – Standard
11:56 – Global
12:17 – Network vs inference latency
14:42 – Intelligent routing
17:47 – Quota vs available capacity
19:30 – Data zone and data residency
22:50 – Availability benefits?
23:52 – Resource is regional
24:31 – Multiple regional resources
25:53 – Enabling in the application
26:49 – API Management
29:08 – Prompt caching impact
31:25 – Provisioned service
32:15 – PayGo features
36:26 – PTU features
43:24 – Azure reservations
45:36 – Batch service
47:26 – Summary
49:54 – Close
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 https://github.com/johnthebrit/RandomStuff/raw/master/Whiteboards/AzureOpenAIDeployments.png
► Azure OpenAI Pricing:
🔗 https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/
► PTU Calculator:
🔗 https://oai.azure.com/portal/calculator
► Official resiliency documentation:
🔗 https://learn.microsoft.com/azure/ai-services/openai/how-to/business-continuity-disaster-recovery
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
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