Rent NVIDIA A100 SXM4 80GB Cloud Instances
📊 Pricing at a Glance
NVIDIA A100 SXM4 80GB rental pricing ranges from $0.73/GPU/hr to $5.12/GPU/hr across 67 instances from 11 providers (updated June 2026).
Looking for a specific provider? See Vast.ai NVIDIA A100 SXM4 80GB, TensorDock NVIDIA A100 SXM4 80GB, or Massed Compute NVIDIA A100 SXM4 80GB.
Available Offers
Compare the top 5 cheapest offers from 11 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 126GB RAM 1593GB Storage | Czechia | $1.16/GPU/hr | Available | ||
 TensorDock | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 0 vCPU 0GB RAM | Prague | $1.20/GPU/hr | Available | ||
 Massed Compute | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 16 vCPU 120GB RAM 1000GB Storage | Iowa | $1.38/GPU/hr | Available | ||
Massed Compute | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 16 vCPU 120GB RAM 1000GB Storage | Virginia | $1.38/GPU/hr | Available |
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Technical Specifications
Strengths & Limitations
- Exceptional performance for AI training and inference.
- Large 80GB HBM2e memory allows for handling massive datasets and complex models.
- High memory bandwidth accelerates data transfer and processing.
- SXM4 form factor enables high-speed interconnects within servers.
- Optimized for NVIDIA's software stack, including CUDA, TensorRT, and cuDNN.
- High cost compared to consumer-grade GPUs.
- Requires specialized server infrastructure with SXM4 sockets.
- High power consumption and thermal output.
- Not suitable for gaming or desktop applications.
Top Use Cases
Accelerates the training of large deep learning models for computer vision, natural language processing, and other AI tasks. The 80GB memory allows for training models with larger batch sizes and more complex architectures.
Enables faster simulations and data analysis in scientific research, engineering, and financial modeling. The high memory bandwidth and compute power are ideal for computationally intensive workloads.
Facilitates faster processing and analysis of large datasets for business intelligence, fraud detection, and other data-driven applications. The A100's performance allows for real-time analytics and faster insights.
Real-World Benchmark
Market Analysis
The NVIDIA A100 SXM4 80GB is a premium GPU targeted at enterprises and research institutions with demanding computational needs. Its high price point reflects its exceptional performance and large memory capacity. While alternatives exist, such as the A100 PCIe 80GB ($0.12/hr) or the H100 SXM5 ($0.74/hr), the SXM4 form factor offers advantages in terms of interconnect bandwidth and system integration for specific server architectures. The AMD Instinct MI250X ($5.12/hr) is a competitor in the HPC space, but NVIDIA maintains a strong position in AI due to its mature software ecosystem.
Frequently Asked Questions
What is the difference between the A100 SXM4 and A100 PCIe?â–¾
The A100 SXM4 uses the SXM4 form factor, which allows for higher power delivery and faster interconnects compared to the PCIe version. SXM4 GPUs are typically used in high-density server configurations, while PCIe GPUs are more versatile and can be used in a wider range of systems.
What software is compatible with the A100?â–¾
The A100 is compatible with NVIDIA's CUDA toolkit, TensorRT, cuDNN, and other software libraries. It also supports popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet.
What are the power requirements for the A100 SXM4 80GB?â–¾
The A100 SXM4 80GB has a typical power consumption of around 400W. It requires a robust power supply and cooling system to operate effectively.
Alternative GPUs
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