Rent NVIDIA A10
per GPU-hour
📊 Pricing at a Glance
NVIDIA A10 on-demand pricing, in stock right now, ranges from $0.37/GPU/hr to $1.29/GPU/hr across 3 offers from 2 providers with live stock tracking (updated October 2026). A further 1 tracked listing is shown below as listed / last-seen pricing.
Looking for a specific provider? See Lambda Labs NVIDIA A10.
Available Offers
The 5 cheapest on-demand offers reported in stock right now, from 2 providers with live stock tracking.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.37/GPU/hr $3.71/hr total (10×) | Available | ||
 Lambda Labs | NVIDIA A10 24GB VRAM | 24GB | 30 vCPU 200GB RAM 1400GB Storage | Virginia | $1.29/GPU/hr | Available | ||
Lambda Labs | NVIDIA A10 24GB VRAM | 24GB | 30 vCPU 200GB RAM 1400GB Storage | California | $1.29/GPU/hr | Available |
Other Tracked Listings (Last-Seen Pricing)
1 further listing GPUPerHour tracks for this GPU. These catalog rows do not qualify as current secure on-demand offers; stock observations may be missing or old. They are not confirmed in stock; check availability with the provider.
| Provider | Listed per GPU / hr | Pricing type | Availability |
|---|---|---|---|
| Lambda Labs | $1.29 | on-demand | Check provider |
A10 Availability Now
2 providers report A10 in stock on-demand right now (3 offers across 3 regions). Last stock observation: .
| Region | Cheapest $/GPU-hr | Provider | Offers in stock |
|---|---|---|---|
| The Netherlands | $0.37 | LeaderGPU | 1 |
| us-east-1 | $1.29 | Lambda Labs | 1 |
| us-west-1 | $1.29 | Lambda Labs | 1 |
Regions are as the providers name them. Prices on this page were observed on (UTC) and are quoted for that day; they are rechecked every minute and can change before booking.
A10 Price History (daily)
Over the last 14 days the cheapest on-demand A10 was $0.37 per GPU-hour across up to 2 providers with stock.
| Date (UTC) | Cheapest $/GPU-hr | Median $/GPU-hr | Offers in stock | Providers with stock |
|---|---|---|---|---|
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 | |
| $0.37 | $1.29 | 3 | 2 |
One row per captured day (00:05 UTC). Cheapest is the lowest secure on-demand price per GPU-hour reported in stock by a provider with live stock tracking; median is the median of those offers. Days without a capture are not shown. Method and full series: Cloud GPU Price Index.
A10 Price by Provider
Cheapest on-demand offer per provider that is reported in stock right now. Prices are per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site.
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 10 | $0.37 | $3.71 | Deploy this GPU |
| Lambda Labs | us-east-1 | 1 | $1.29 | $1.29 | Deploy this GPU |
Notify me when A10 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.37/GPU-hr.
A10 Catalog Listing History (30 days)
Catalog listings, not live prices.
These averages are of every tracked catalog listing, including spot, reserved, out-of-stock and older rows. They do not measure live on-demand prices or availability (the daily price history table above does that) and cannot establish savings against the current offers. Each day averages its recorded catalog snapshots; the median gives each day equal weight. Missing days are excluded.
| Lowest daily catalog average | $0.41/GPU/hr |
|---|---|
| Median of daily catalog averages | $0.41/GPU/hr |
| Days with recorded catalog prices | 30 of 30 |
| Latest catalog snapshot | October 19, 2026 |
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Technical Specifications
Strengths & Limitations
- Excellent performance for virtual workstations and remote graphics applications.
- Strong compute capabilities for AI inference and data science tasks.
- Good balance of performance and power efficiency.
- Large memory capacity for handling complex datasets and models.
- Supports NVIDIA virtual GPU (vGPU) software for enhanced management and security.
- Not ideal for high-end gaming or graphics-intensive rendering tasks compared to GeForce RTX series.
- Higher cost compared to consumer-grade GPUs.
- FP8 support is not available, limiting its performance in some advanced AI workloads.
- Performance might be lower than dedicated high-performance compute GPUs like A100 or H100 for specific HPC tasks.
Top Use Cases
Provides a powerful and secure platform for remote workers to access demanding applications like CAD, CAE, and digital content creation tools.
Accelerates AI inference workloads for tasks such as image recognition, natural language processing, and recommendation systems.
Enables data scientists to accelerate data analysis, model training, and visualization tasks.
Real-World Benchmark
Market Analysis
Generated market commentary, not current pricing. Live prices and stock are in the sections above.
The NVIDIA A10 occupies a sweet spot in the cloud GPU market, offering a compelling alternative to both consumer-grade GPUs and high-end data center GPUs. Its suitability for virtual workstations and AI inference makes it a popular choice for cloud providers and enterprises.
Frequently Asked Questions
What is NVIDIA vGPU and how does it benefit the A10?â–¾
NVIDIA vGPU (virtual GPU) allows you to virtualize the A10 GPU and share its resources across multiple virtual machines. This improves resource utilization, enhances security, and simplifies management in virtualized environments.
Is the NVIDIA A10 suitable for deep learning training?â–¾
While the A10 can be used for deep learning training, it is primarily designed for inference. For intensive training workloads, GPUs like the A100 or H100 offer significantly better performance.
What type of applications is the NVIDIA A10 best suited for?â–¾
The A10 is best suited for virtual workstations, AI inference, data science, and professional graphics applications. It provides a good balance of performance, power efficiency, and cost for these workloads.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is checked periodically from 2 cloud providers tracking this GPU.