open-weight models

A new publication examines the costs of running open-weight AI models for inference, weighing hosting, hardware and efficiency against closed commercial APIs. It argues that as open-weight models mature, understanding the true economics of serving them becomes central to how companies decide between self-hosting and paying providers. Readers are debating the cost assumptions and what they mean for AI infrastructure spending.