Compare H100 Servers Performance Specs and Pricing

Cyfuture Cloud offers NVIDIA H100 GPU servers designed for high-performance AI, machine learning, and HPC workloads. These servers feature the Hopper architecture with up to 80GB HBM3 memory, delivering exceptional speed and efficiency. Prices for H100 servers range from approximately $250,000 to $400,000 depending on configurations, number of GPUs, and additional components. Technical specifications such as memory bandwidth (up to 24TB/s), performance (up to 32 petaFLOPS in multi-GPU setups), and connectivity (NVLink, PCIe Gen5) make H100 servers ideal for enterprise AI applications.

1. Overview of NVIDIA H100 Servers

NVIDIA H100 GPU servers, powered by Hopper architecture, represent the latest in high-performance computing technology, optimized for demanding AI, deep learning, and HPC tasks. Cyfuture Cloud provides scalable, enterprise-grade H100 GPU cloud servers that leverage this architecture for accelerated workloads. The H100 series is available in multiple form factors, including PCIe (less dense, more flexible) and SXM5 (higher density, better performance-per-watt) configurations.​

2. Performance & Key Specifications

The NVIDIA H100 GPU excels in high-performance AI workloads, with the following key specifications:

Memory: Up to 80GB HBM3 with 24 TB/s bandwidth​

Performance: Up to 32 petaFLOPS of AI throughput in multi-GPU setups​

CUDA Cores: 16,896 cores​

Tensor Cores: 528 (4th Gen), optimized for large-scale AI models​

Connectivity: NVLink Gen4, PCIe Gen5, enabling rapid data transfer between GPUs​

Architecture: Designed for scalable AI training, inference, HPC, and data analytics​

3. Pricing Trends & Cost Factors

The H100 GPU itself ranges from approximately $25,000 to $40,000 per GPU depending on the configuration (PCIe or SXM5), with server-level costs reaching between $250,000 and $400,000. Factors influencing pricing include:​

Configuration Type: PCIe-based vs SXM modules

Number of GPUs: Single or multi-GPU servers

Additional Components: CPUs, memory, storage, networking

Provider and Support Services: Enterprise-level support from providers like Cyfuture Cloud

4. Types of H100 Server Configurations

NVIDIA offers two main configurations:

H100 SXM5 Modules: High-density, best for data center needing maximum performance, multiples of 4 or 8 GPUs, costs starting around $27,000 per GPU.​

H100 NVL (NVLink): Features 96GB memory per GPU, with improved throughput and efficiency, priced from $29,000 per GPU, with server prices potentially exceeding $235,000 for multi-GPU setups.​

Cyfuture Cloud provides flexible deployment options tailored for enterprise AI workloads, with cost-effective leasing and on-demand cloud access.​

5. Use Cases & Business Benefits

H100 servers are ideal for:

AI Model Training: Accelerate large-scale deep learning models​

Data Analytics: Process large datasets rapidly​

HPC Tasks: High-performance simulation and scientific computing​

Enterprise AI Applications: Building intelligent systems, real-time inference engines​

The benefits include faster training times, scalability, and cost-effective cloud-based access, reducing capital expenditure for organizations.​

6. Conclusion

NVIDIA H100 servers represent a leap forward in AI and high-performance computing, offering unmatched speed, capacity, and connectivity for enterprise workloads. Cyfuture Cloud provides tailored solutions to access these high-end GPUs on-demand, reducing costs while maximizing performance. Whether for advanced AI model training, data analytics, or HPC applications, H100 servers are an investment in cutting-edge technology that can elevate your business capabilities to new heights.

For organizations seeking maximum computational power, Cyfuture Cloud’s scalable H100 GPU servers deliver the perfect blend of performance, flexibility, and affordability.