[Market Overview] The regional performance of the A800 series diverged significantly in the morning. For the SMM-A800-40G-Complete Unit-Yangtze River Delta-Monthly Rental, the highest monthly rental jumped from 16,500 yuan to 20,000 yuan, with the hourly rate simultaneously breaching the 3 yuan mark. In contrast, for the SMM-A800-80G-Complete Unit-Beijing-Tianjin-Hebei-Monthly Rental, the lowest monthly rental bucked the trend, dropping to 31,000 yuan. The contrasting price movements within the same A800 series reflect structural differences in regional energy costs and industrial clusters.
[A800 40G Yangtze River Delta: Surge Past 20,000, Hourly Rate Reaches 3.47] For the SMM-A800-40G-Complete Unit-Yangtze River Delta-Monthly Rental, the highest monthly rental rose from 16,500 yuan to 20,000 yuan, an increase of 3,500 yuan or 21.21%; the hourly rate climbed from 2.86 yuan to 3.47 yuan, an increase of 0.61 yuan or 21.33%. Prior to this, the A800 40G had been trading sideways within the 15,000-16,500 yuan range for several weeks, and this surge decisively broke through the psychological barrier of 20,000 yuan. The AI industry cluster in the Yangtze River Delta continues to exert its influence—Shanghai, a major hub for large language models, drives the country's highest density of surrounding computing power demand. However, regional power costs are high with no special subsidies, leading to rigid costs on the supply side coupled with surging demand, making a price breakthrough inevitable.
[A800 80G Beijing-Tianjin-Hebei: Prices Decline on Clean Energy Advantage] For the SMM-A800-80G-Complete Unit-Beijing-Tianjin-Hebei-Monthly Rental, the lowest monthly rental decreased from 32,000 yuan to 31,000 yuan, a drop of 1,000 yuan or 3.13%; the lowest hourly rate fell from 5.56 yuan to 5.38 yuan, a drop of 0.18 yuan or 3.24%. Backed by clean energy sources in Inner Mongolia and the ongoing supply growth released by "East Data, West Computing" hub construction, the Beijing-Tianjin-Hebei region's power cost advantages are gradually transforming into competitive computing power leasing prices, creating a price trajectory distinctly different from the Yangtze River Delta.
[SMM View] The divergence in computing power leasing prices across regions reveals the deep structural logic of the computing power market: the Yangtze River Delta excels in AI industrial clusters with the nation's highest demand density, but energy bottlenecks drive up costs, making prices more likely to rise than fall; the Beijing-Tianjin-Hebei region, leveraging western Inner Mongolia's clean energy and its "East Data, West Computing" hub, continues to see supply-side expansion, offering more price elasticity. Regional price spreads are likely to persist in the long run—choosing where to deploy essentially involves a trade-off between proximity to demand and proximity to power.
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