CoreWeave Inference: From Model Training to Production-Scale AI Deployment

The live demonstration will showcase the end-to-end workflow of deploying and serving AI models using CoreWeave Inference platforms. The demo begins with a brief walkthrough of how trained models transition into production inference environments, followed by deploying a sample generative AI model across different CoreWeave inference options. Attendees will see: Serverless Inference for rapid deployment and automatic scaling of inference workloads; Dedicated Inference for consistent low-latency performance and predictable throughput; and Inference on CKS (CoreWeave Kubernetes Service) demonstrating containerized deployment, orchestration, and infrastructure customization for enterprise-grade AI applications. The demo will include real-time inference requests, scaling behavior, API interactions, monitoring insights, and performance comparisons across deployment types. The objective is to provide attendees with a practical understanding of how CoreWeave enables scalable, production-ready AI inference while balancing performance, flexibility, and operational efficiency.