Did you know there’s a rate limit for the speed at which you may use Azure OpenAI Services in “tokens per minute”? Did you know there’s a maximum quota for Azure OpenAI Service usage as well?
And did you know there’s a way around all that? (Psst. It’s called PTUs. Read about it in the post below.)
The FastTrack for Azure team has written a great, easy to understand, write up about the ways people can use Azure OpenAI Services and how to deal with rate limitations & quotas.
This blog focuses on good practices for monitoring Azure Open AI limits and quotas. With the growing interest and application of Generative AI, Open AI models have emerged as pioneers in this transformative era. To maintain consistent and predictable performance for all users, these models impose certain limits and quotas. For Independent Software Vendors (ISVs) and Digital Natives utilizing these models, understanding these limits and establishing efficient monitoring strategies is paramount to ensures a good customer experience to the end-users of their products and services. This blog seeks to provide a comprehensive understanding of these monitoring strategies, thereby enabling ISVs and Digital Natives to optimally leverage AI technologies for their respective customer bases.
Covered topics:
- Understanding Limits and Quotas
- Choosing between tokens-per-minute and provisioned throughput models
- Effective Monitoring Techniques
- Optimization Recommendations
- Prevention and Response Strategies for Limit Exceeding
Read the full post here:
- Optimizing Azure OpenAI: A Guide to Limits, Quotas, and Best Practice
https://techcommunity.microsoft.com/t5/fasttrack-for-azure/optimizing-azure-openai-a-guide-to-limits-quotas-and-best/ba-p/4076268
kurtsh
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