token processing

Token processing is a key topic in discussions about Microsoft Azure's AI services, particularly in the context of large language models and generative AI. In recent threads, token processing refers to the computational work involved in handling input and output tokens for AI models, which directly impacts cost, latency, and scalability. Azure's AI infrastructure is designed to optimize token processing through specialized hardware and software, enabling efficient inference and training. The $13 billion annual run rate for Azure's AI services highlights the growing demand for token processing capabilities. Understanding token processing is essential for developers and IT professionals working with Azure AI, as it affects model performance and operational costs.