Why general-purpose cloud platforms throttle AI innovation | CoreWeave Blog

This post details the architectural mismatch between general-purpose cloud platforms and AI workloads, explaining how limitations in provisioning, infrastructure rigidity, and cost control inherent in legacy clouds throttle AI innovation. It advocates for purpose-built AI clouds that offer on-demand GPU access, high-throughput networking, flexible resource orchestration, and deep observability to accelerate AI development and deployment.