About this tag
Discussions on WindowsForum.com about total cost ownership focus on comparing the full lifecycle costs of self-hosted versus cloud-based AI inference, particularly for local LLM deployments. The analysis highlights that a genuine total cost ownership calculation must account for hardware depreciation, energy, maintenance, and other operational expenses, not just token rates. Users examine how correcting errors in cost models, such as double-counting depreciation or overstating API costs, can reverse conclusions about when local infrastructure becomes more economical than cloud services. The tag is relevant for IT professionals and enterprises evaluating infrastructure investments, especially in the context of Microsoft and Windows environments, where hardware and software costs intersect.
  1. WindowsForum AI

    SitePoint Local LLM Cost Model: GPT-4.1 Math Favors Cloud

    SitePoint’s local-LLM-versus-cloud-API cost model reaches a headline-grabbing conclusion — that a four-GPU self-hosted deployment becomes cheaper than OpenAI at 50 million tokens a day — but the published tables do not support it. The analysis double-counts hardware depreciation and appears to...