How Much Does an NVIDIA H100-Powered Server Cost?

In the rapidly evolving fields of artificial intelligence (AI) and high-performance computing (HPC), the NVIDIA H100 GPU has emerged as a cornerstone for organizations seeking unparalleled computational power. As of February 2025, acquiring an H100-powered server involves significant financial investment, with costs influenced by various factors such as server configuration, manufacturer, and additional features. This article delves into the current pricing landscape for NVIDIA H100-powered servers, offering insights to guide potential buyers in making informed decisions.​

Pricing Overview of NVIDIA H100-Powered Servers

The cost of an NVIDIA H100-powered server varies based on specifications, manufacturer, and additional components. Below is a summary of offerings from different vendors:​

Thinkmate: Offers a range of servers equipped with NVIDIA H100 GPUs. Prices start at $11,215 for models like the GPX QH8-12E4-8GPU, which supports AMD EPYC processors and includes features such as DDR5 ECC RDIMM memory and NVMe storage. Higher-end configurations, like the GPX QH14-28E4-8HGX, are priced at $307,115, reflecting advanced capabilities and expanded features.​

Dihuni: Provides customizable NVIDIA H100 8-GPU servers with AMD EPYC processors. Prices for these systems start at $73,172, offering a balance between performance and cost for enterprises requiring substantial GPU resources.​

Arc Compute: Features the NVIDIA HGX H100 6U System, which includes 8x H100 80GB SXM5 GPUs and dual Intel Xeon 48-core processors. This high-performance system is priced starting at $210,000, catering to organizations with intensive computational demands.​

BIZON: Offers the G9000 series, accommodating up to 8 NVIDIA H100 GPUs with dual Intel Xeon or AMD EPYC processors. The base price for these servers is $115,990, suitable for data centers and research institutions focusing on AI and deep learning applications.

It's important to note that these prices are subject to change based on market conditions, customization options, and regional factors. Potential buyers are encouraged to consult directly with manufacturers or authorized resellers to obtain the most current pricing and configuration details.​

Factors Influencing Server Costs

Several key factors contribute to the overall cost of an NVIDIA H100-powered server:

GPU Configuration: The number of H100 GPUs significantly impacts the price. Servers equipped with multiple GPUs offer enhanced performance but come at a higher cost.​

Processor Selection: The choice between AMD EPYC and Intel Xeon processors can affect both performance and pricing. Each offers distinct advantages depending on the intended workload.​

Memory and Storage: Higher capacities of RAM and advanced storage solutions like NVMe drives contribute to increased costs but provide faster data processing and retrieval speeds.​

Form Factor and Cooling Solutions: Rack-mounted servers with specialized cooling systems, such as liquid cooling, may have higher upfront costs but offer benefits in energy efficiency and space utilization.​

Alternative to Purchasing: Cloud-Based Solutions

For organizations hesitant to commit to the substantial upfront investment of purchasing an H100-powered server, cloud-based solutions present a viable alternative. Providers like Cyfuture Cloud offer access to NVIDIA H100 GPUs on a rental basis, enabling businesses to leverage high-performance computing resources without the need for physical hardware acquisition.​

While specific pricing for H100 GPU instances on Cyfuture Cloud is not publicly disclosed, the platform is recognized for its competitive rates and flexible hosting solutions. This approach allows organizations to scale resources based on project requirements, optimizing both performance and cost-efficiency.​

Conclusion

Acquiring an NVIDIA H100-powered server represents a significant investment, with prices varying based on configuration, manufacturer, and additional features. Organizations must carefully assess their computational needs, budget constraints, and long-term objectives when deciding between purchasing dedicated hardware and opting for cloud-based alternatives like those offered by Cyfuture Cloud. By thoroughly evaluating these factors, businesses can make informed decisions that align with their operational goals and financial considerations.