LLM Cost Optimization: How To Run Gen AI Apps Cost-Efficiently

The growing number of open-source and commercial LLMs for generative AI presents a challenge for Dev/ML/AI Ops teams to choose the best model for their needs. This complexity, combined with the lack of cost visibility and non-LLM-friendly cloud infrastructure, makes managing LLM costs inefficient and prone to error. The solution is AI Enabler, which intelligently routes queries to the most optimal and cost-effective LLM while leveraging Kubernetes optimization capabilities. It offers a comprehensive cost monitoring dashboard, automatic selection of optimal LLMs, and zero additional configuration, significantly reducing costs and operational overhead for businesses integrating AI into their applications at a fraction of the cost.