LiteLLM and Langfuse: the operational pair, and the four places where the trace is lost between the gateway and the dashboardSep 7, 2026
From the SLO to the number of GPUs: how to size and justify the investment in inference hardwareJun 16, 2026
Full TCO of an on-premise GPU cluster: from capex to the all-in €/GPU-hour and the break-even against cloudJun 16, 2026
Cloud GPU: on-demand, reserved and spot, and why neoclouds change the board (with 2026 prices)Jun 16, 2026
Sovereign on-premise vs hyperscalers: the case with data (cost, energy, performance and sovereignty)Jun 14, 2026
Kubecost vs OpenCost vs the alternatives: what the commercial layer adds and when it is worth paying forJun 14, 2026
Cost, performance and energy: the three axes of LLM inference and the identity that ties them togetherJun 13, 2026