GenAI at Scale: What It Enables, What It Costs, and How To Reduce the Pain

GenAI is rapidly expanding, with 3-10% of prototypes currently reaching production, expected to increase to 30% within two years. Business spending on deployments is projected to grow from $106 billion this year to $255 billion by 2030. Main applications include workflow augmentation, content summarization, and question-answering systems. In-house LLM deployment becomes cost-effective for multiple applications but requires balancing speed, accuracy, and cost. Tools like vLLM can reduce costs by optimizing resources while maintaining performance.