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This paper analyzes how open-weight AI demand affects the economic value of older NVIDIA GPUs, showing that open-weight models are cheaper and that hardware like the A100 remains cost-effective for specific workloads.
The article describes a new underwriting approach for AI-native companies that incorporates agent telemetry alongside traditional cash flow analysis, sharing insights from this method.
An analysis questioning whether OpenRouter's API pricing for open models like GLM-5.2 implies more aggressive quantization than assumed, given the economics of running large models on expensive hardware like 8xH200.