Rent A30
Check the latest offers below
📊 Pricing at a Glance
No live on-demand availability right now. No provider with live stock tracking reports A30 in stock. Last seen from $0.35/GPU/hr on QuantaCloud (listed on-demand pricing, not verified in stock).
GPUPerHour tracks 13 listings for A30 from 3 providers, none of which is confirmed in stock on-demand right now. They are listed below as last-seen pricing.
Looking for a specific provider? See Massed Compute A30, or RunPod A30.
Available Offers
No on-demand offer is reported in stock by a provider with live stock tracking right now.
Other Tracked Listings (Last-Seen Pricing)
13 further listings 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 |
|---|---|---|---|
| QuantaCloud | $0.35 | on-demand | Check provider |
| QuantaCloud | $0.35 | on-demand | Check provider |
| QuantaCloud | $0.35 | on-demand | Check provider |
| Massed Compute | $0.35 | on-demand | Check provider |
| Massed Compute | $0.35 | on-demand | Check provider |
| QuantaCloud | $0.35 | on-demand | Check provider |
| Massed Compute | $0.35 | on-demand | Check provider |
| Massed Compute | $0.35 | on-demand | Check provider |
| QuantaCloud | $0.35 | on-demand | Check provider |
| QuantaCloud | $0.35 | on-demand | Check provider |
A30 Availability Now
No provider with live stock tracking reports A30 in stock on-demand right now. Stock is rechecked every minute; tracked catalog listings are shown above as last-seen pricing.
A30 Price History (daily)
The daily A30 price series has one captured day so far: on 7 October 2026 the cheapest on-demand A30 was $0.35 per GPU-hour across 2 providers with stock. A row is added each day.
| Date (UTC) | Cheapest $/GPU-hr | Median $/GPU-hr | Offers in stock | Providers with stock |
|---|---|---|---|---|
| $0.35 | $0.35 | 2 | 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.
Notify me when A30 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.
A30 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 | $0.32/GPU/hr |
|---|---|
| Median of daily catalog averages | $0.32/GPU/hr |
| Days with recorded catalog prices | 30 of 30 |
| Latest catalog snapshot | October 19, 2026 |
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
- Versatile performance for AI inference, training, and data analytics.
- Large 24GB HBM2 memory capacity for handling substantial datasets.
- Optimized for mainstream enterprise workloads.
- Good balance of performance and power efficiency.
- Supports NVIDIA virtual GPU (vGPU) software for enhanced manageability and utilization.
- Lower peak performance compared to higher-end GPUs like the A100 or H100.
- HBM2 memory, while fast, is less capacity than some alternatives.
- Not ideal for the most demanding HPC or deep learning training tasks.
- FP8 performance not specified, indicating potentially lower efficiency for FP8 workloads compared to newer architectures.
Top Use Cases
Accelerating inference workloads for various AI models, including computer vision, natural language processing, and recommendation systems. Suitable for deploying AI models at scale in data centers.
Supporting training of smaller to medium-sized AI models. Enables faster iteration and experimentation for data scientists and machine learning engineers.
Accelerating data processing and analytics tasks, such as data mining, machine learning, and visualization. Improves the performance of data-intensive applications.
Real-World Benchmark
Market Analysis
Generated market commentary, not current pricing. Live prices and stock are in the sections above.
The NVIDIA A30 occupies a mid-range position in the data center GPU market, offering a balance of performance and cost. It competes with other GPUs in its class, such as the NVIDIA A10 and some of the higher-end NVIDIA T4 configurations. It is a good choice for organizations that need more performance than a T4 but cannot justify the cost of an A100.
Frequently Asked Questions
What is the primary use case for the NVIDIA A30?â–¾
The NVIDIA A30 is primarily designed for AI inference, training of smaller models, and data analytics workloads in data centers.
Does the NVIDIA A30 support NVIDIA vGPU?â–¾
Yes, the NVIDIA A30 supports NVIDIA virtual GPU (vGPU) software, enabling virtualization and resource sharing for improved utilization and manageability.
How does the NVIDIA A30 compare to the NVIDIA A100?â–¾
The NVIDIA A100 offers significantly higher peak performance and memory capacity compared to the A30. The A30 is a more cost-effective option for mainstream workloads, while the A100 is better suited for the most demanding AI training and HPC applications.
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 3 cloud providers tracking this GPU.