With the popularity of these technologies, AI-related API traffic has surged, giving rise to the "Intelligent Traffic Hub" - the Large Model Gateway. This emerging technical solution is designed to efficiently manage AI traffic and ensure that enterprises can smoothly use various AI models.
In real business scenarios, enterprises face challenges in effectively accessing and managing multiple AI models. These models may come from different providers, with varying API interfaces and data formats. If each department builds its own access capabilities separately, it will inevitably lead to resource waste and technological fragmentation. Therefore, enterprises need a centralized and unified solution to manage these AI models.
The Large Model Gateway was created for this purpose. It not only connects business operations with AI infrastructure but also provides optimized management capabilities for AI requests. Unlike traditional API gateways, the Large Model Gateway focuses on handling long-term and streaming responses, complex inputs and outputs, and high-resource-consuming AI workloads. It can effectively manage model usage costs, ensure data security, and improve service stability.
For example, Dedu encountered a series of challenges, including a sharp increase in model call costs, data security risks, and service instability, during the introduction of various AI models. To address these issues, Dedu decided to build its own Large Model Gateway to achieve efficient resource utilization and strict cost control.
During implementation, Dedu adopted six strategies. The first was to establish an information-rich "Model Marketplace," making it easier for business teams to select appropriate AI models. Second, they built a unified access API, allowing different business lines to easily connect to AI services. In addition, Dedu introduced a full-process cost control system, significantly reducing operating costs through optimized model usage.
The emergence of the Large Model Gateway marks a new breakthrough in enterprise AI application management. By improving access efficiency, ensuring data security, and optimizing costs, enterprises can more flexibly respond to market demands and achieve sustainable business development.
