NVIDIA H100 80GB PCIe Price 2025: Specs and Cost Updates

The NVIDIA H100 80GB PCIe GPU in 2025 is priced approximately between $25,000 to $30,000 for new units, with some premiums pushing prices higher depending on supply and vendor. The PCIe version, known for its deployment flexibility in servers and HPC environments, features 80 GB of HBM3e memory and a memory bandwidth of 3 TB/s, delivering up to 2,000 TFLOPS tensor throughput. Cloud GPU hosting options vary from $2.5 to $13+ per GPU-hour depending on the provider and usage. Cyfuture Cloud offers competitive and scalable GPU hosting solutions for enterprises and developers seeking high-performance HPC and AI infrastructure.

Overview of NVIDIA H100 80GB PCIe GPU

The NVIDIA H100 GPU, based on the Hopper architecture, is a leading choice in AI, HPC, and data-intensive applications. The PCIe form factor offers compatibility with standard PCIe Gen 5.0 x16 interfaces and supports workloads ranging from large language models (LLMs) training to HPC simulations. It boasts 80 GB of HBM3e memory and enhanced tensor core performance optimized for AI workloads.

Specifications and Performance Highlights

Memory: 80 GB HBM3e with 3 TB/s bandwidth

Tensor Throughput: Up to ~2,000 TFLOPS (FP8/FP16/FP32)

Compute Cores: 1,024 Tensor Cores inclusive of CUDA improvements

Thermal Design Power (TDP): Approximately 350 W

PCIe Interface: PCIe Gen 5.0 x16

Performance Gains: Up to 2.5× faster training speed compared to previous generation A100 GPUs
These specs translate into exceptional performance for AI model training, real-time inference, scientific simulations, and more.

Pricing Breakdown: Purchase vs. Cloud

Cloud Providers Example Rates:

GCP: Approx. $12.50 per GPU-hour (multi-GPU node)

AWS Custom H100 Instances: $13 - $17 per GPU-hour

Azure NV H100: Around $7 - $8 per GPU-hour

Smaller providers like Lambda Cloud, CoreWeave: $4.50 - $7 per GPU-hour, sometimes lower with spot pricing.

Market Availability and Trends in 2025

The early-to-mid 2025 market continues to see tight supply of H100 GPUs globally, especially for PCIe variants, due to high demand from AI research and enterprise deployments. Lead times for new hardware purchases can run 4 to 8 months depending on volume and supplier. Secondary markets offer some relief but at increased prices and risk. Cloud GPU hosting serves as a flexible alternative with faster access and pay-as-you-go models.

Key market trends include:

Price stabilization expected in 2025 after initial shortages ease.

Increased competition among cloud service providers leading to hourly price drops.

Introduction of newer GPUs like NVIDIA H200 may influence H100 pricing dynamics.

How to Choose Between On-Prem and Cloud Deployment

On-Premises:

Best for high-volume, predictable workloads.

Requires significant upfront investment (~$25k+ per GPU plus server, cooling, power infrastructure).

Suitable for enterprises needing full control, low latency, or data sovereignty compliance.

Cloud-Based:

Ideal for project-based, variable workloads.

No upfront capital expenditure; pay only for usage.

Elastic scalability with instant provisioning and managed infrastructure.

Enterprises should evaluate workload patterns, budget, and infrastructure readiness before choosing a path. Hybrid approaches combining on-prem and cloud can balance cost and flexibility.

Cyfuture Cloud GPU Hosting Solutions

As NVIDIA H100 GPUs remain a cornerstone for AI and HPC acceleration, Cyfuture Cloud offers robust GPU hosting platforms tailored for enterprises and developers. With local support, competitive pricing, and scalable resource allocation, Cyfuture Cloud helps organizations leverage NVIDIA H100 PCIe GPUs without heavy capital investment or infrastructure management.

Why Cyfuture Cloud?

Flexible pricing models including pay-as-you-go

Instant provisioning of GPU nodes with top-tier infrastructure

Additional cloud services including AI frameworks and hybrid deployment options

Expert local support to optimize GPU workflows and infrastructure use

Discover how Cyfuture Cloud can future-proof your AI and HPC workloads.

Frequently Asked Questions

What is the difference between NVIDIA H100 PCIe and SXM versions?

The PCIe version offers easier deployment with standard PCIe slots and is common in server environments, while SXM provides higher bandwidth and power for integrated, high-density multi-GPU servers at a higher cost.

How does the H100 compare to its predecessor, the A100?

The H100 delivers up to 2.5× faster training speed, improved tensor core efficiency, and newer architecture features for large-scale AI training and HPC.

Are there options to buy refurbished H100 GPUs?

Yes, refurbished units are available at significantly lower prices but often come with limited warranty and support.

Conclusion

The NVIDIA H100 80GB PCIe GPU remains a premium but essential technology for 2025’s leading AI and HPC workloads. With pricing around $25,000–$30,000 for new units and flexible cloud rental options, organizations can choose deployment models that best fit their needs and budgets. Cyfuture Cloud offers an optimal path for leveraging this cutting-edge GPU technology with flexible, scalable, and locally supported GPU hosting services. Careful evaluation of specs, pricing, and deployment options ensures the best return on investment in the evolving AI hardware landscape.