Rent NVIDIA H100 PCIe Cloud Instances
📊 Pricing at a Glance
NVIDIA H100 PCIe rental pricing ranges from $1.90/GPU/hr to $5.95/GPU/hr across 52 instances from 11 providers (updated June 2026).
Looking for a specific provider? See Hyperstack NVIDIA H100 PCIe, Massed Compute NVIDIA H100 PCIe, or Ori NVIDIA H100 PCIe.
Available Offers
Compare the top 5 cheapest offers from 11 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
 Massed Compute | NVIDIA H100 PCIe 80GB VRAM | 80GB | 20 vCPU 128GB RAM 1250GB Storage | Iowa | $2.73/GPU/hr | Available | ||
 Ori | NVIDIA H100 PCIe 80GB VRAM | 80GB | 30 vCPU 380GB RAM 3890GB Storage | Lille | $2.90/GPU/hr | Available | ||
 Lambda Labs | NVIDIA H100 PCIe 80GB VRAM | 80GB | 26 vCPU 200GB RAM 1024GB Storage | United States | $3.29/GPU/hr | Available | ||
 Scaleway | NVIDIA H100 PCIe 80GB VRAM | 80GB | 24 vCPU 240GB RAM 2794GB Storage | Paris | $3.34/GPU/hr | Available |
QuantaCloud
H-series supply is constrained.
Most providers are sold out through Q3 2026. If you need 16+ GPU reserved or cluster capacity in the next 90 days, we can quote B300 or remaining Hopper inventory within 24 hours.
Technical Specifications
Strengths & Limitations
- Exceptional performance for AI training and inference tasks.
- High memory bandwidth enables faster data processing.
- Optimized for large-scale deployments in data centers.
- Supports the latest NVIDIA software stack and libraries.
- PCIe form factor allows for easy integration into existing server infrastructure.
- High cost compared to consumer-grade GPUs.
- Requires significant power and cooling infrastructure.
- Not suitable for gaming or desktop applications.
- Performance benefits are most pronounced in highly parallel workloads.
Top Use Cases
Accelerate the training of large and complex deep learning models for natural language processing, computer vision, and other AI applications. The H100's Tensor Cores and high memory bandwidth significantly reduce training times.
Perform complex simulations and scientific computations in fields such as weather forecasting, drug discovery, and materials science. The H100's parallel processing capabilities enable faster and more accurate results.
Process and analyze large datasets for business intelligence, fraud detection, and other data-driven applications. The H100's high memory bandwidth and processing power enable faster data exploration and insights.
Real-World Benchmark
Market Analysis
The NVIDIA H100 PCIe is positioned as a premium GPU for data centers and enterprises requiring the highest levels of performance for AI, HPC, and data analytics. Its price of $1.07/hr reflects its advanced capabilities and target market. While more expensive than alternatives like the A100 PCIe 80GB ($0.12/hr) or the Tesla V100 32GB ($0.29/hr), the H100 offers substantial performance improvements that can justify the higher cost for demanding workloads.
Frequently Asked Questions
What is the difference between the H100 PCIe and the H100 SXM5?â–¾
The H100 PCIe uses a PCIe interface for connectivity, while the H100 SXM5 uses a higher-bandwidth SXM5 interface. The SXM5 version typically offers higher performance due to its faster interconnect.
What software is compatible with the H100 PCIe?â–¾
The H100 PCIe is compatible with NVIDIA's CUDA toolkit, TensorRT, and other software libraries for AI and HPC. It also supports popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet.
What are the power requirements for the H100 PCIe?â–¾
The H100 PCIe has a typical power consumption of around 350W. Ensure your server has adequate power supply and cooling to support the GPU.
Alternative GPUs
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