In this session, we’ll explore how Azure API Management (APIM) plays a critical role in managing and optimizing AI architectures. As AI-driven applications increasingly rely on various services like machine learning models and AI Services, the need for efficient, secure, and scalable API management becomes essential. We'll dive into key API Management policies such as load balancing, throttling, and caching, demonstrating how they enhance the performance of AI workloads while controlling costs. The session will also cover best practices for securing AI endpoints, enforcing quotas, and leveraging monitoring tools for insights. By the end, you will understand the architectural and cost-saving benefits of using API Management in AI solutions, ensuring that your AI services are robust, scalable, and budget-friendly.
This session is ideal for developers, architects, and cloud professionals looking to streamline AI services while maintaining control over performance and costs.