Bring Back AI Cloud Elasticity with CoreWeave Flex | CoreWeave Blog

This post introduces CoreWeave Flexible Capacity Plans, specifically 'Flex Reservations' (guaranteed capacity with a holding fee for variable workloads) and 'Spot' instances (lower-cost, interruptible capacity with preemption signaling). It positions these as closing the gap between existing Reservations and On-Demand options, aiming to provide a controllable way to match cost and certainty to AI workload demands. The post also mentions the introduction of 'Dedicated Inference' for platform teams and reiterates the use of Serverless Inference in Weights & Biases and CoreWeave Kubernetes Services for inference workloads, emphasizing the portfolio approach to AI capacity from proof to production.