Choosing the right AI infrastructure partner is a strategic decision that directly impacts performance, cost, and time to market. Smarter Compute, Smarter Spend explores five critical considerations AI leaders must evaluate when moving beyond general-purpose cloud platforms, including true total cost of ownership, GPU utilization efficiency, reliability at scale, and access to purpose-built infrastructure designed for modern AI workloads.
Backed by real-world benchmarks and customer results, this guide explains how higher goodput, improved model FLOPS utilization, and infrastructure reliability translate into faster training, lower wasted compute, and more predictable costs. It provides a clear framework for comparing hyperscalers, neoclouds, and AI-native cloud platforms—helping teams make informed infrastructure decisions that support scalable AI training and inference today and into the future.
