Rent NVIDIA A100 PCIe 40GB Cloud Instances
📊 Pricing at a Glance
NVIDIA A100 PCIe 40GB rental pricing ranges from $3.09/GPU/hr to $3.09/GPU/hr across 28 instances from 7 providers (updated June 2026).
Looking for a specific provider? See Paperspace NVIDIA A100 PCIe 40GB, RunPod NVIDIA A100 PCIe 40GB, or Cirrascale NVIDIA A100 PCIe 40GB.
Available Offers
Compare the top 5 cheapest offers from 7 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA A100 PCIe 40GB 40GB VRAM | 40GB | 12 vCPU 90GB RAM 50GB Storage | New York | $3.09/GPU/hr | Available | ||
 RunPod | NVIDIA A100 PCIe 40GB 40GB VRAM | 40GB | 8 vCPU 117GB RAM | 🌍global | $1.39/GPU/hr | |||
 Cirrascale | 8×NVIDIA A100 PCIe 40GB 40GB VRAM | 40GB | 128 vCPU 1024GB RAM 10042GB Storage | United States | $2.30/GPU/hr $18.40/hr total (8×) | |||
Cirrascale | 8×NVIDIA A100 PCIe 40GB 40GB VRAM | 40GB | 128 vCPU 1024GB RAM 10042GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
Cirrascale | 8×NVIDIA A100 PCIe 40GB 40GB VRAM | 40GB | 128 vCPU 1024GB RAM 10042GB Storage | United States | $2.73/GPU/hr $21.84/hr total (8×) |
QuantaCloud
A100 at scale.
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Technical Specifications
Strengths & Limitations
- Exceptional performance for AI training and inference.
- High memory bandwidth for data-intensive workloads.
- 3rd Generation Tensor Cores for accelerated AI performance.
- Double-precision (FP64) performance suitable for HPC applications.
- PCIe form factor allows for easy integration into existing server infrastructure.
- Higher power consumption compared to consumer-grade GPUs.
- Higher cost compared to consumer-grade GPUs.
- May require specialized cooling solutions in some environments.
- PCIe interface may limit performance compared to SXM versions in certain scenarios.
Top Use Cases
Ideal for training large and complex AI models, including deep learning models for image recognition, natural language processing, and recommendation systems. The A100's Tensor Cores and high memory bandwidth significantly reduce training times.
Suitable for scientific simulations, computational fluid dynamics, and other HPC applications that require high double-precision floating-point performance. The A100's FP64 capabilities enable accurate and efficient simulations.
Accelerates data analytics workloads, including data mining, machine learning, and business intelligence. The A100's high memory bandwidth and computational power enable faster processing of large datasets.
Real-World Benchmark
Market Analysis
The NVIDIA A100 PCIe 40GB is positioned as a high-end GPU for data centers and research institutions. While newer GPUs like the H100 and H200 offer even greater performance, the A100 remains a viable option for organizations seeking a balance between performance and cost. At $0.13/hr, it offers a competitive price point for its capabilities, especially when compared to the A100 SXM4 40GB at $0.51/hr or the Tesla V100 16GB at $0.11/hr. Its PCIe form factor provides compatibility with a wide range of server platforms.
Frequently Asked Questions
What is the difference between the A100 PCIe and A100 SXM4?▾
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 its 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?▾
The A100 is compatible with a wide range of software frameworks, including TensorFlow, PyTorch, CUDA, and cuDNN. NVIDIA provides optimized drivers and libraries to ensure optimal performance with these frameworks.
What is the typical power consumption of the A100 PCIe 40GB?▾
The A100 PCIe 40GB has a typical power consumption of around 250-300W. It is important to ensure that your server has adequate power supply and cooling to support the GPU.
Alternative GPUs
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