Rent NVIDIA A100 SXM4 40GB Cloud Instances
📊 Pricing at a Glance
NVIDIA A100 SXM4 40GB rental pricing ranges from $1.99/GPU/hr to $4.10/GPU/hr across 24 instances from 3 providers (updated July 2026).
Looking for a specific provider? See Lambda Labs NVIDIA A100 SXM4 40GB, AWS NVIDIA A100 SXM4 40GB, or VERDA NVIDIA A100 SXM4 40GB.
Available Offers
Compare the top 5 cheapest offers from 3 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Lambda Labs | NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 30 vCPU 200GB RAM 512GB Storage | Virginia | $1.99/GPU/hr | Available | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | Seoul | $1.99/GPU/hr $15.92/hr total (8×) | Available | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | Virginia | $1.99/GPU/hr $15.92/hr total (8×) | Available | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | Oregon | $1.99/GPU/hr $15.92/hr total (8×) | Available | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | California | $1.99/GPU/hr $15.92/hr total (8×) | Available |
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.
- SXM4 form factor enables high-speed interconnects within servers.
- Suitable for large-scale simulations and data analysis.
- Supports NVIDIA's software stack, including CUDA and TensorRT.
- Higher cost compared to consumer-grade GPUs.
- SXM4 form factor requires compatible server infrastructure.
- Power consumption can be significant.
- FP8 performance is not specified, indicating it may not be optimized for this precision.
Top Use Cases
Accelerates the training of deep learning models, enabling faster iteration and experimentation. Ideal for complex models and large datasets.
Provides the computational power needed for scientific simulations, weather forecasting, and other demanding HPC applications.
Enables faster processing and analysis of large datasets, facilitating data-driven insights and decision-making.
Real-World Benchmark
Market Analysis
The NVIDIA A100 SXM4 40GB is positioned as a premium GPU for data centers and research institutions. While its hourly cost of $0.51 is higher than many consumer-grade GPUs like the GeForce RTX 3090 ($0.06/hr) or even the Tesla V100 16GB ($0.11/hr), its superior performance and features justify the price for organizations with demanding computational needs. It competes with other high-end GPUs such as the A100 PCIe 80GB ($0.12/hr) and the newer H100 series.
Frequently Asked Questions
What is the difference between the A100 SXM4 and the A100 PCIe?â–¾
The A100 SXM4 uses the SXM4 form factor, which allows for higher power limits and faster interconnects compared to the PCIe version. This results in better performance for certain workloads. The PCIe version is more widely compatible with standard server infrastructure.
What software frameworks are compatible with the A100 SXM4?â–¾
The A100 SXM4 is compatible with all major deep learning frameworks, including TensorFlow, PyTorch, and MXNet. It also supports NVIDIA's CUDA toolkit and TensorRT for optimized performance.
Alternative GPUs
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