a16z 观察：A100 与 H100 GPU 租赁价格高于折旧曲线
a16z 用数据打破了一个常见假设：旧 GPU 没有贬值。H100 租金比折旧线高 54%，A100 也高 9%。算训练或推理业务的团队、考虑租卡还是买卡的开发者，这篇值得看看背后供需逻辑。
a16z 于 10 月 19 日公布的数据显示，GPU 租赁价格没有按预期的直线折旧路径下滑：A100 租金高于六年直线折旧基准线 9%，H100 更是高出 54%。这与行业普遍假设的五年资产使用寿命相悖，旧一代 GPU 的价值保持得远超预期。
合伙人 Mike Volpi 解释了背后的原因：算力需求过高，导致即便旧卡在“瓦特换美元”的能效转换上不如新卡，市场仍在继续使用这些资产。他指出，真正的瓶颈在半导体制造产能本身——芯片持续稀缺，资产的有效寿命就会延长。理论上等 Vera Rubin 等新卡供应充足后，跑 H100 才会变得不划算。
对持有 GPU 资产、做融资租赁的一方来说，资产寿命比预期更长意味着收益更好。但对依赖算力租赁的 AI 团队而言，旧卡租金坚挺表明短期内算力成本难以通过硬件迭代而下降。
GPU rental rates aren't depreciating on schedule. As of October 19, rental rates were above a six-year straight-line depreciation path from their first observed rent: - A100s by 9% - H100s by 54% @mavolpi : "The demand is so high that even if the watt-to-dollar conversion is low, you're going to still use the asset" a16z @a16z Mike Volpi explains why older GPUs are holding their value: "We thought this asset had a five-year life ... If you're in the business of financing an asset and that asset ends up having a longer useful life, then you're the beneficiary of that." " In theory, at some point when you have sufficient Vera Rubins, it doesn't really make sense to run H100s anymore because it's just a worse way of converting electricity into dollars." "The problem is right now that the demand is so high that even if the watt-to-dollar conversion is low, you're going to still use the asset." "Ultimately the scarcity is in the manufacturing of the semiconductor itself... And so then scarcity persists, then the life of the asset continues to be long." @mavolpi @RaghuRaghuram @appenz
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include H100, A100, GPU租赁, a16z.
Source attribution: curated from a16z (@a16z). Cross-source corroboration: 7 independent sources have covered this development (including rohanpaul_ai, The Information, Xianbao Qian), confirming industry-wide signal strength.
