Why Introduce a Public Cloud?
Learn how Microsoft’s partnership with OpenAI in Azure OpenAI (AOAI) provides advantages such as scalability, security, regional availability, and built-in responsible AI.
We have seen how Microsoft and OpenAI have partnered in recent years and how Microsoft’s cloud, Azure, became the gym for OpenAI model training. However, it also became the cloud infrastructure where OpenAI models can be consumed.
Difference between OpenAI and Azure OpenAI
What is the difference between using models from OpenAI and Azure OpenAI? The difference lies in the underlying infrastructure: with Azure OpenAI, we leverage our own infrastructure within our own secured subscription. This brings a series of advantages:
Scalability and flexibility: We can benefit from the scalability of Azure and accommodate the elastic usage of AOAI models. From small pilots to enterprise-level production projects, AOAI allows us to leverage the required capacity and scale up or down if necessary.
Security and compliance: We can use role-based authentication and private network connectivity to make our deployment more secure and trusted. We can also train our AI model while having full control of our data.
Regional availability: We can run our AI workloads on the Azure global infrastructure that meets our production needs.
Built-in responsible AI: We can use content filtering to ensure that our AI model generates appropriate and ethical output.
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