In other words, an LLM gateway helps with increasing resiliency and scalability while reducing costs. Given that most enterprises are moving towards a multi-model landscape, LLM Gateways will play a critical role in increasing reliability, mitigating risks and optimizing costs according to industry analysts and experts.
A recent Gartner report titled ‘Optimize AI costs and reliability using AI gateways and model routers’ summarizes the trend in the following way: “The core challenge of scaling AI applications is the constant trade-off between cost and performance. To build high-performing yet cost-optimized AI applications, software engineering leaders should invest in AI gateways and model routing capabilities.”
Industry insiders such as Anuraag Gutgutia, COO of Truefoundry, (an AI platform company), say “Organizations, particularly the ones that operate in a highly regulated environment, should realize that the absence of such a platform exposes them to several risks across the layers. The lack of a robust LLM gateway and a deployment platform on day 1 has a significant impact on speed, risk mitigation, costs and scalability.”
