Rent NVIDIA A100 PCIe 80GB Cloud Instances
📊 Pricing at a Glance
NVIDIA A100 PCIe 80GB rental pricing ranges from $1.35/GPU/hr to $3.08/GPU/hr across 100 instances from 12 providers (updated June 2026).
Looking for a specific provider? See Massed Compute NVIDIA A100 PCIe 80GB, Hyperstack NVIDIA A100 PCIe 80GB, or ThunderCompute NVIDIA A100 PCIe 80GB.
Available Offers
Compare the top 5 cheapest offers from 12 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Massed Compute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 16 vCPU 96GB RAM 512GB Storage | Iowa | $1.35/GPU/hr | Available | ||
Massed Compute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 16 vCPU 96GB RAM 512GB Storage | Iowa | $1.35/GPU/hr | Available | ||
 Hyperstack | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 28 vCPU 120GB RAM 850GB Storage | Canada | $1.35/GPU/hr | Available | ||
 ThunderCompute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 4 vCPU 32GB RAM 100GB Storage | United States | $1.79/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 30 vCPU 150GB RAM 1024GB Storage | Iowa | $1.35/GPU/hr $2.70/hr total (2×) | Available |
QuantaCloud
A100 at scale.
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Technical Specifications
Strengths & Limitations
- Exceptional memory capacity (80GB) allows for handling larger datasets and more complex models.
- High memory bandwidth (2 TB/s) ensures fast data transfer, reducing bottlenecks.
- Ampere architecture provides significant performance improvements for AI and HPC workloads.
- Tensor Cores accelerate AI training and inference.
- PCIe form factor allows for easy integration into existing server infrastructure.
- Higher power consumption compared to lower-end GPUs.
- Higher cost compared to GPUs with less memory and performance.
- PCIe interface may limit performance compared to SXM versions in certain workloads.
Top Use Cases
The A100 80GB's large memory capacity is ideal for training large language models with billions of parameters, enabling faster training times and improved model accuracy.
Accelerates data processing, feature engineering, and model training for various machine learning tasks, including image recognition, natural language processing, and fraud detection.
Provides significant computational power for scientific simulations, engineering analysis, and other HPC applications, enabling researchers and engineers to solve complex problems faster.
Real-World Benchmark
Market Analysis
The NVIDIA A100 PCIe 80GB is positioned as a high-end GPU for data centers and research institutions requiring substantial computational power and memory capacity. While the price of $0.12/hr reflects its premium capabilities, it offers a cost-effective solution for organizations that need to accelerate demanding workloads without investing in dedicated hardware. It competes with other high-end GPUs like the A100 SXM4 versions and the newer H100 series, but remains a viable option for many applications due to its balance of performance and cost.
Frequently Asked Questions
What is the difference between the A100 PCIe and A100 SXM4?â–¾
The A100 PCIe uses a PCIe interface, while the A100 SXM4 uses a faster SXM4 interface. The SXM4 version typically offers higher performance due to increased bandwidth and power delivery capabilities. The PCIe version is easier to integrate into existing server infrastructure.
What software frameworks are compatible with the A100?â–¾
The A100 is compatible with all major AI and HPC frameworks, including TensorFlow, PyTorch, CUDA, and OpenACC.
What are the power requirements for the A100 PCIe 80GB?â–¾
The A100 PCIe 80GB typically has a power consumption of around 250-300W.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is updated in real-time from 12+ cloud providers.