[SMM Computing Power Express] A certain intelligent computing service provider: H100 3-year term starting from 75,000 yuan/month

Published: Aug 5, 2026 11:20
SMM learned that a certain intelligent computing service provider reported that the current three-year lease quotation for H100 with cabinets and electricity was already above 75,000 yuan/month. For RTX4090 8-GPU servers, they still had dozens of units in stock, with the 1TB memory version’s monthly rent of 7,200 yuan as their floor price. The market price for similar 512GB memory versions had risen to 8,000 yuan/month. SMM also learned that the quotation range for H200 was 120,000-135,000 yuan/month and showed an upward trend this week. Rental prices for high-end cards remained in an upward channel. The service provider said that there were many intermediaries marking up prices in the market, and first-hand resources were scarce.

Data Source Statement: Except for publicly available information, all other data are processed by SMM based on publicly available information, market communication, and relying on SMM's internal database model. They are for reference only and do not constitute decision-making recommendations.

For any inquiries or for more information, please contact: lemonzhao@smm.cn
For more information on how to access our research reports, please contact:service.en@smm.cn
Related News
Musk Praises NVIDIA's AI Architecture, Projects SpaceX's Compute Capacity to Reach 10 GW by 2024
2 hours ago
Musk Praises NVIDIA's AI Architecture, Projects SpaceX's Compute Capacity to Reach 10 GW by 2024
Read More
Musk Praises NVIDIA's AI Architecture, Projects SpaceX's Compute Capacity to Reach 10 GW by 2024
Musk Praises NVIDIA's AI Architecture, Projects SpaceX's Compute Capacity to Reach 10 GW by 2024
During the company's first earnings call, SpaceX CEO Elon Musk said that the company considers NVIDIA's Vera Rubin architecture to be the "best AI compute architecture." Musk disclosed that SpaceX expects its compute capacity to exceed 2 gigawatts (GW) by the end of this year and approach 10 GW by the end of next year.
2 hours ago
【SMM Analysis】Domestic vs. Nvidia GPU Leasing: Annual vs. 3-5 Year Contracts Amid Supply and Demand Shifts
2 hours ago
【SMM Analysis】Domestic vs. Nvidia GPU Leasing: Annual vs. 3-5 Year Contracts Amid Supply and Demand Shifts
Read More
【SMM Analysis】Domestic vs. Nvidia GPU Leasing: Annual vs. 3-5 Year Contracts Amid Supply and Demand Shifts
【SMM Analysis】Domestic vs. Nvidia GPU Leasing: Annual vs. 3-5 Year Contracts Amid Supply and Demand Shifts
In the same computing power leasing market, a clear dividing line in contract duration is emerging: the Huawei Ascend 910B/910C series is generally leased starting from one year in mainland China. NVIDIA H100/H200 leasing resources typically requires a minimum three-year lock-in contract, with concessions for a five-year contract still limited. Under export controls, computing power has shifted from a "commodity" to a "scarce resource“, contract duration is precisely the price of that scarcity.
2 hours ago
[SMM Computing Power Express] 20 non-networked 5090 8-card machines for rent in South China, monthly rent 13,000
4 hours ago
[SMM Computing Power Express] 20 non-networked 5090 8-card machines for rent in South China, monthly rent 13,000
Read More
[SMM Computing Power Express] 20 non-networked 5090 8-card machines for rent in South China, monthly rent 13,000
[SMM Computing Power Express] 20 non-networked 5090 8-card machines for rent in South China, monthly rent 13,000
SMM has learned that a computing power service provider in Southern China has released 20 RTX 5090 8-GPU servers for lease, with a monthly rental quote of 13,000 yuan per unit. This batch of machines is deployed as standalone units without networking interconnection, suitable for lightweight scenarios such as distributed inference or rendering. SMM believes that the non-networked configuration offers high flexibility and a low barrier to entry, but the lack of cluster interconnection means limited adaptability to large-scale training and distributed tasks; lessees should evaluate based on their specific scenarios.
4 hours ago