This blog outlines the pricing, deployment options, and tools for scalable and cost-effective AI deployments using Azure OpenAI. The platform offers three pricing models: Standard, Provisioned, and Batch, catering to varying workloads and business needs. The Standard model is suitable for flexible workloads, charging based on API calls, ideal for development and prototyping. The Provisioned model ensures stable performance for enterprise applications with predictable demand, while the Batch model supports large-scale processing at a significant discount. Azure OpenAI also features multiple deployment types, including Global and Regional, enhancing data control and compliance. Dynamic features, like a model router and prompt caching, optimize performance and costs. Integration with Microsoft Cost Management tools provides visibility into AI spending, improving budget management. Microsoft emphasizes secure, responsible AI, ensuring compliance and safeguarding data, making Azure OpenAI a trusted choice for businesses aiming for scalable AI innovations.
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