GPU Cloud Pricing
Thousands of GPUs across 30+ regions. Simple pricing plans for teams of all sizes, designed to scale with you.
| GPU Type | VRAM | RAM | vCPUs | Price |
|---|---|---|---|---|
| >80GB VRAM | ||||
| H200 | 141GB VRAM | 276GB RAM | 24vCPUs | $3.79/hr |
| B200 | 180GB VRAM | 283GB RAM | 28vCPUs | $5.99/hr |
| H100 NVL | 94GB VRAM | 94GB RAM | 16vCPUs | $2.79/hr |
| 80GB VRAM | ||||
| H100 PCIe | 80GB VRAM | 188GB RAM | 16vCPUs | $2.39/hr |
| H100 SXM | 80GB VRAM | 125GB RAM | 20vCPUs | $2.69/hr |
Bare Metal GPU Pricing
Dedicated bare metal servers with powerful GPU configurations for the most demanding workloads. Flexible leasing options available.
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What is GPU cloud rental service?
GPU cloud rental service provides on-demand access to powerful GPU hardware over the internet. Our platform allows users to rent GPUs from a global network of providers, eliminating the need for upfront hardware investment and maintenance costs. This service is ideal for AI/ML training, rendering, and other compute-intensive workloads.
How does GPU cloud rental work?
Our platform acts as a marketplace connecting GPU providers with users. Providers list their hardware with specifications and pricing, while users can search and select GPUs based on their specific requirements (GPU model, VRAM, CPU, RAM, etc.). Once rented, users can access the GPU via SSH, Jupyter notebooks, or direct API integration.
What are the advantages of GPU cloud rental?
GPU cloud rental offers several key advantages: 1) Significant cost savings compared to purchasing and maintaining hardware, 2) Flexibility to scale resources up or down based on workload demands, 3) Access to the latest GPU models without waiting for hardware upgrades, 4) Global availability with data centers in multiple regions, and 5) Simplified management through our intuitive dashboard.
How are GPU rental prices determined?
GPU rental prices are determined by a combination of factors including GPU model, VRAM capacity, CPU/RAM specifications, storage type, and market demand. Our platform uses a competitive bidding system that allows providers to set their own prices, ensuring users get the best possible rates for their compute needs.
What GPU models are available for rent?
Our platform offers a wide range of GPU models from leading manufacturers including NVIDIA (A100, H100, L40S, RTX 4090, etc.) and AMD (MI250X, MI300X). We regularly update our GPU inventory to include the latest hardware, ensuring users have access to cutting-edge compute resources.
How do I get started with GPU rental?
Getting started is simple: 1) Create an account on our platform, 2) Add a payment method, 3) Use our search interface to find GPUs matching your requirements, 4) Select a suitable GPU and rental duration, 5) Deploy your workload via SSH, Jupyter, or API, and 6) Monitor usage and costs through our dashboard.
What operating systems are supported?
Our platform primarily supports Linux-based Docker instances, with most providers offering Ubuntu-based images. This allows for consistent environment deployment across different GPU configurations. We also support custom Docker images, enabling users to bring their own optimized environments.
Can I run any workload on rented GPUs?
Yes, you can run a wide range of compute-intensive workloads including deep learning model training, machine learning inference, 3D rendering, scientific computing, and cryptocurrency mining (subject to provider policies). Our platform supports both interactive and batch processing workloads.
Power AI with Lightning-Fast GPU Cloud
As a proud member of the NVIDIA Inception Program, we deliver cutting-edge GPU computing solutions that empower your AI projects with high-performance infrastructure, seamless integration, and elastic scaling capabilities.