Inference routing is a technique used in machine learning model deployment that directs incoming requests to the most suitable model or endpoint based on factors like model performance, latency, and resource utilization. As startups increasingly rely on AI-driven applications, inference routing plays a crucial role in optimizing model inference, reducing costs, and improving overall system efficiency, making it a key consideration for companies looking to scale their AI infrastructure effectively.
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