The 2024 State of AI Inference Infrastructure Survey, conducted by BentoML, provides insights into the current landscape of AI infrastructure adoption across various industries. The survey, which gathered input from over 250 participants, highlights several key trends: most organizations are in the early stages of their AI journey, focusing on foundational capabilities; there is an increasing shift toward hybrid deployment strategies and the use of open-source and fine-tuned models; and challenges such as deployment complexity, GPU availability, and security concerns are prevalent. The survey also reveals a preference for leveraging multi-cloud and hybrid infrastructure strategies, with public cloud services like Microsoft Azure and AWS being frequently used. The findings suggest that while API-first approaches are dominant, many organizations are adopting more flexible and customizable solutions to address specific needs, ensuring better control and privacy. Recommendations from the survey emphasize balancing speed and control in deployment, adopting open-source models for customization, and implementing hybrid GPU strategies to optimize performance and cost.