Key points:
• Microsoft has announced the availability of Azure OpenAI Data Zones in the United States and European Union, providing enterprises with more flexibility and control over their data privacy and residency needs.
• The company has also introduced new updates to its Azure AI portfolio, including the general availability of Azure OpenAI Service Batch API, Prompt Caching, and a 99% SLA for token generation.
• Additionally, Microsoft has expanded its model catalog with new healthcare industry models, models from Mistral and Cohere, and fine-tuning capabilities for Phi-3.5 family models.
• The company has also announced AI App Templates and upgrades to its Azure AI model inference API, enabling developers to build and deploy AI solutions more quickly and securely.
Microsoft has made significant updates to its Azure AI portfolio, aimed at providing customers with more flexibility, control, and capabilities to build and deploy AI solutions. The company has announced the availability of Azure OpenAI Data Zones, which allows enterprises to process and store their data within specific geographic boundaries, ensuring compliance with regional data residency requirements.
The new update also includes the general availability of Azure OpenAI Service Batch API, which enables developers to manage large-scale and high-volume processing tasks more efficiently. Additionally, Microsoft has introduced Prompt Caching, which optimizes costs and latency by reusing recently seen input tokens.
The company has also expanded its model catalog with new healthcare industry models, models from Mistral and Cohere, and fine-tuning capabilities for Phi-3.5 family models. These new models are designed to be used in a variety of applications, including healthcare, and provide developers with more choice and customization options.
To support the development of AI solutions, Microsoft has announced AI App Templates, which enable developers to build and deploy AI apps more quickly and securely. The company has also upgraded its Azure AI model inference API, allowing developers to access and use Azure AI models directly through GitHub Marketplace.
The updates also include new features to build secure, enterprise-ready AI apps, such as Azure policies for model deployment and Application Gateway for private connections to on-premises resources.
These updates demonstrate Microsoft’s commitment to empowering developers to build and deploy AI solutions with confidence, while also addressing the needs of enterprises and governments for data privacy and residency.
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You might also like: Why Choose Azure Managed Applications for Your Business & How to download Azure Data Studio.
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