Production AI Runs on Inference | CoreWeave Blog

What this post added

This post shifts the focus to production-grade inference as the operational backbone of AI, particularly for agentic workflows. It highlights the challenges of scaling inference for production AI applications, emphasizing the need for predictable latency, reliability, and cost. The post introduces CoreWeave Inference with distinct deployment paths (Serverless and Dedicated) to address these needs, moving beyond just model deployment to operationalizing AI at scale. It discusses the evolution of inference demands from simple request-response to continuous reasoning and tool execution, and the importance of infrastructure, cost predictability, and control for mature workloads.