Top 5 Factors AI Leaders Need to Evaluate for TCO | CoreWeave Blog

This post details the top 5 factors AI leaders need to evaluate for Total Cost of Ownership (TCO) when choosing AI infrastructure. It emphasizes evaluating the full stack (compute, storage, networking, orchestration) rather than isolated resources, translating GPU efficiency (MFU, Goodput) into economic efficiency, aligning storage architecture with GPU throughput requirements, prioritizing cost transparency and predictability, and choosing architectures purpose-built for AI workloads. It quantifies the potential TCO variance (47%-54%) and highlights CoreWeave's advantages in storage cost optimization (eliminating egress fees, API request charges) and overall AI-optimized architecture leading to lower TCO.