Frequently Asked Questions
Everything you need to know about GPU cloud computing and GPUCloudList
General
What is GPUCloudList?
GPUCloudList is a free GPU cloud price comparison platform. We track real-time prices from 17+ cloud providers to help you find the cheapest GPU instances for AI, ML, and deep learning workloads.
Is GPUCloudList free to use?
Yes! GPUCloudList is 100% free. We make money through affiliate commissions when you sign up for providers through our links (at no extra cost to you).
How often are prices updated?
Prices are updated every 5 minutes to ensure you always have the most current information. Some providers may change prices more frequently.
GPU Cloud
What is GPU cloud computing?
GPU cloud computing allows you to rent graphics processing units (GPUs) on-demand from cloud providers. This is ideal for AI/ML training, inference, rendering, and other compute-intensive tasks without buying expensive hardware.
What is the difference between H100 and A100?
The NVIDIA H100 is the successor to the A100 with up to 3x better performance for AI training and inference. The H100 features the Hopper architecture with FP8 support, Transformer Engine, and higher memory bandwidth. A100 remains excellent for most workloads and is typically 30-50% cheaper.
What are spot/preemptible GPU instances?
Spot (or preemptible) instances are GPU servers offered at a discount (up to 70% off) because they can be interrupted when demand is high. They are ideal for fault-tolerant workloads like training with checkpoints. On-demand instances cost more but guarantee availability.
Providers
Which GPU cloud provider is the cheapest?
Vast.ai typically offers the lowest prices (from $0.35/hr for RTX 4090) through their marketplace model. However, prices vary by GPU type, region, and availability. Always compare multiple providers for your specific needs.
Which GPU cloud is best for beginners?
RunPod and Lambda Labs are great for beginners. RunPod offers a simple UI, pre-configured templates, and serverless options. Lambda Labs provides pre-installed ML environments with PyTorch and TensorFlow ready to use. Both have straightforward pricing with no hidden fees.
Billing
How can I save money on GPU cloud computing?
Use GPUCloudList to compare prices across 17+ providers. Consider spot instances for training, choose the right GPU for your workload (don't overpay for H100 if A100 suffices), use reserved instances for long-term projects, and take advantage of free credits offered by providers like Vultr and Google Cloud.
Features
Is my data safe on GPU cloud providers?
Reputable GPU cloud providers implement strong security measures including encrypted storage, isolated instances, and SOC 2 compliance. Your data is deleted when you terminate an instance. For sensitive workloads, providers like CoreWeave and AWS offer dedicated instances with additional security guarantees.
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