Deploying AI inferencing solutions for manufacturing organizations presents distinct challenges. Traditional AI projects can demand huge investments in high-end, onsite technology that can be fast and reliable enough for the factory floor. Costs to stream massive amounts of data to the cloud for processing can be prohibitive. Sending proprietary production data to the cloud poses a major IP security risk. IT and OT teams often lack the specialized skills for complex AI deployments. These solutions must be cost-effective, easy to implement, and scalable. However, enterprise AI infrastructures are often oversized and unnecessarily complex for these needs. This mismatch leads to wasted resources and slowed innovation.