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Azure OpenAI

Enterprise access to OpenAI models via Microsoft Azure

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What is Azure OpenAI?

Azure OpenAI provides enterprise access to OpenAI's language models through Microsoft's Azure cloud platform. Rather than accessing OpenAI's public API directly, organisations can deploy models like GPT-4 and GPT-3.5 within their own Azure infrastructure. This approach appeals to companies with strict data governance requirements, compliance obligations, or existing Azure investments. You get the same capable models but with the security, scalability, and integration benefits of running them on Azure's enterprise infrastructure.

Key features

Access to GPT-4, GPT-3.5, and other OpenAI models through Azure

Virtual network isolation and private endpoints for secure deployments

Integration with Azure's authentication, monitoring, and compliance tools

Ability to fine-tune models on your own data

Usage quotas and rate limiting controls for managing costs

Azure's global infrastructure for reduced latency in different regions

Pros & cons

Advantages

  • Better suited for organisations with strict data residency or compliance needs
  • Integrates directly with existing Azure services and authentication systems
  • Provides private, isolated deployments rather than shared infrastructure
  • Access to enterprise support and service level agreements from Microsoft
  • Avoids sending sensitive data to OpenAI's public endpoints

Limitations

  • Requires familiarity with Azure platform; steeper learning curve than OpenAI's direct API
  • Generally more expensive than OpenAI's standard API pricing due to Azure's enterprise positioning
  • Availability may lag behind OpenAI's public releases for new models or features

Use cases

Building AI applications within regulated industries like finance or healthcare

Enterprises needing to keep training data on-premises or in specific regions

Organisations already committed to Azure seeking unified cloud solutions

Companies requiring audit trails and detailed compliance reporting

Large-scale deployments where Azure's global infrastructure provides value

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Pricing

Pay-as-you-go

Per-token pricing varies by model

Usage-based billing for API calls; pricing per 1,000 tokens input and output. Exact rates depend on which model you use and your region.

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Get Azure OpenAI
  • Open source
  • Free forever