Rent NVIDIA A30 Cloud Instances
📊 Pricing at a Glance
NVIDIA A30 rental pricing ranges from $0.35/GPU/hr to $0.41/GPU/hr across 6 instances from 2 providers (updated June 2026).
Looking for a specific provider? See Massed Compute NVIDIA A30, or RunPod NVIDIA A30.
Available Offers
Compare the top 5 cheapest offers from 2 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Massed Compute | NVIDIA A30 24GB VRAM | 24GB | 16 vCPU 48GB RAM 256GB Storage | Iowa | $0.35/GPU/hr | Sold Out | ||
Massed Compute | NVIDIA A30 24GB VRAM | 24GB | 16 vCPU 48GB RAM 256GB Storage | 🌍global | $0.35/GPU/hr | Sold Out | ||
 RunPod | NVIDIA A30 24GB VRAM | 24GB | 8 vCPU 50GB RAM | 🌍global | $0.41/GPU/hr | |||
Massed Compute | 2×NVIDIA A30 24GB VRAM | 24GB | 30 vCPU 96GB RAM 512GB Storage | 🌍global | $0.35/GPU/hr $0.70/hr total (2×) | Sold Out | ||
Massed Compute | 4×NVIDIA A30 24GB VRAM | 24GB | 50 vCPU 192GB RAM 1024GB Storage | 🌍global | $0.35/GPU/hr $1.40/hr total (4×) | Sold Out |
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
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. Its price of $0.22/hr makes it a competitive option for organizations seeking to accelerate AI and data analytics workloads without the high cost of flagship GPUs. 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?▾
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?▾
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?▾
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
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