Total cost of ownership (TCO)
Total cost of ownership (TCO) on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on total cost of ownership (tco) in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around total cost of ownership (tco), or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs
Enterprises have decisively moved AI infrastructure into production, with two-thirds now running live workloads and nearly three in ten operating at scale. However, a critical gap exists: the ability to accurately track AI compute costs hasn't kept pace. Performance and GPU availability now outweigh total cost of ownership in purchasing decisions, yet fewer than half of organizations rigorously track their AI compute expenses. This VentureBeat Pulse Research, surveying 170 enterprises, highlights the need for improved visibility into AI infrastructure economics.
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Enterprises are rapidly accelerating investment in AI infrastructure, yet a significant "compute gap" exists – heavy spending outpacing the ability to truly understand and control its economics. New VentureBeat Pulse Research, surveying 107 organizations, reveals that while only 21% run AI at scale, nearly half intend to evaluate specialized AI clouds within the year, often lacking clear visibility into GPU utilization (83% below 50%) and compute costs.
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Enterprises are accelerating AI infrastructure spending, yet visibility into its economics lags significantly—a phenomenon we've termed the "compute gap." Across 107 organizations, intentions to evaluate specialized AI clouds are surging, even as existing GPUs sit at half utilization or less, and fewer than half rigorously track compute costs. This reveals a disconnect: organizations are buying more infrastructure faster than they can account for what they already own, signaling a shift away from traditional hyperscalers.