Rent NVIDIA A40 Cloud Instances
📊 Pricing at a Glance
NVIDIA A40 rental pricing ranges from $0.29/GPU/hr to $1.71/GPU/hr across 100 instances from 11 providers (updated July 2026).
Looking for a specific provider? See Vultr NVIDIA A40, Paperspace NVIDIA A40, or LeaderGPU NVIDIA A40.
Available Offers
Compare the top 5 cheapest offers from 11 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA A40 48GB VRAM | 48GB | 4 vCPU 20GB RAM 360GB Storage | Tokyo | $0.29/GPU/hr | Available | ||
Vultr | NVIDIA A40 48GB VRAM | 48GB | 4 vCPU 20GB RAM 360GB Storage | Frankfurt | $0.29/GPU/hr | Available | ||
 Paperspace | NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 45GB RAM 50GB Storage | Canada | $0.76/GPU/hr | Available | ||
Paperspace | NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 45GB RAM 50GB Storage | Amsterdam | $0.76/GPU/hr | Available | ||
Paperspace | NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 45GB RAM 50GB Storage | New York | $0.76/GPU/hr | Available |
QuantaCloud
Need GPUs at scale?
Building out an inference fleet or training cluster? QuantaCloud brokers reserved capacity across multiple data center partners. 16+ GPUs, flexible terms, custom quote in 24 hours.
Technical Specifications
Strengths & Limitations
- Large memory capacity (48GB) is ideal for large datasets and complex models.
- Excellent performance for professional visualization and rendering tasks.
- Supports NVIDIA virtual GPU (vGPU) software for virtual workstation deployments.
- Suitable for both compute and graphics workloads.
- Relatively lower cost compared to higher-end data center GPUs like A100 or H100.
- Lower compute performance compared to dedicated AI GPUs like A100 or H100.
- GDDR6 memory is slower than HBM2e memory found in higher-end GPUs.
- Not optimized for large-scale AI training.
- Higher power consumption compared to lower-end GPUs.
Top Use Cases
Ideal for demanding visualization workloads in industries like media and entertainment, architecture, engineering, and construction (AEC).
Enables high-performance virtual workstations with NVIDIA vGPU software, allowing multiple users to share a single GPU.
Suitable for data science tasks and AI inference workloads, especially those requiring large memory capacity.
Real-World Benchmark
Market Analysis
The NVIDIA A40 occupies a mid-range position in the data center GPU market, offering a balance of performance and cost. It competes with other professional visualization GPUs like the NVIDIA RTX A5000 ($0.16/hr) and AMD Radeon Pro W6800. While not as powerful as high-end AI GPUs like the A100 ($0.12/hr for A100 PCIe 80GB), it provides sufficient performance for many data science and AI inference tasks at a lower price point. Its large memory capacity makes it attractive for applications dealing with large datasets.
Frequently Asked Questions
What is the difference between the NVIDIA A40 and the NVIDIA RTX A6000?â–¾
The NVIDIA A40 is a data center GPU designed for professional visualization and compute workloads, while the NVIDIA RTX A6000 ($0.19/hr) is a workstation GPU with similar performance characteristics. The A40 is optimized for server environments and supports NVIDIA vGPU software, while the RTX A6000 is designed for desktop workstations.
Is the NVIDIA A40 suitable for AI training?â–¾
While the NVIDIA A40 can be used for AI training, it is not the optimal choice for large-scale training workloads. Dedicated AI GPUs like the NVIDIA A100 or H100 offer significantly higher performance for training deep learning models.
What type of workloads is the NVIDIA A40 best suited for?â–¾
The NVIDIA A40 is best suited for professional visualization, virtual workstations, data science, and AI inference workloads that require a balance of performance and memory capacity.
Alternative GPUs
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