About this tag
This tag covers discussions comparing cloud APIs with local and self-hosted alternatives, particularly in the context of large language models and AI inference. Content includes cost modeling, total cost of ownership analysis, and hardware considerations such as GPU deployments. The sources examine how cloud API pricing, including services like OpenAI's GPT-4.1, compares to running models on local infrastructure. Topics touch on token rates, depreciation, and the factors organizations should weigh when deciding between cloud-based APIs and on-premises solutions. The tag is relevant for IT professionals and developers evaluating AI deployment strategies, with a focus on cost analysis and practical decision-making for Windows-based environments.
  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...