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@SemiAnalysis_· @SemiAnalysis_ · X·· 2026-08-18AI 评分28
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超大规模云厂商按协议收取IaaS费用和/或收入分成,而AI实验室作为记录卖方计入总ARR,同一笔token支出在双方账上会产生不同的收入和利润率。收入分成对云厂商有利,因其Token即服务业务变现率高于IaaS业务,但增量利润最终会压低实验室的EBIT利润率,因为这笔成本被计入销售与市场费用。算力同理:间接工作负载跑在云厂商的MW上但服务的是实验室模型,产能分配需逐笔交易核算。

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Depending on the deal, the hyperscaler takes an IaaS fee and/or a revenue share while the lab acts as a seller of record  and counts the gross ARR. The same token spend can produce different revenue numbers and margins at the lab and at the hyperscalers. While the revenue share is positive for hyperscalers who monetize thes Token as a Service businesses higher than their IaaS businesses, the increased incremental margins that go to hyperscalers ultimately hurt lab EBIT margins (who book this cost in Sales & Marketing). Compute follows the same logic: indirect workloads run on hyperscaler MWs but serve lab models, so the capacity allocation needs deal-level detail to be right. (2/4)

来源:@SemiAnalysis_ · x.com