Enterprises face significant challenges in deploying AI models due to the complexities of balancing cost, latency, compliance, and resource management across diverse environments like public clouds, private VPCs, and on-premises infrastructures. BentoML's 2024 AI Infrastructure Survey highlights that 62.1% of enterprises run inference across multiple environments, yet many struggle with fragmented systems that are costly and difficult to scale. The Bento Inference Platform aims to address these challenges by providing a unified operational layer that seamlessly integrates diverse infrastructure environments, offering consistent APIs, dynamic provisioning, and built-in orchestration. This approach allows AI teams to efficiently deploy models anywhere, optimizing for control, flexibility, and cost without rebuilding infrastructure or compromising on performance, resulting in faster iteration, reduced operational overhead, and consistent compliance.