Rent GPU Cloud Instances - VoltageGPU Marketplace
Available GPU Types for Rent
Browse and rent high-performance GPU instances from our global marketplace. VoltageGPU offers the most competitive prices for AI training, machine learning, and deep learning workloads.
NVIDIA RTX 4090 GPU Pods
24GB VRAM, ideal for AI inference, image generation, and LLM fine-tuning. Starting from $0.25/hour - 85% cheaper than AWS.
NVIDIA A100 80GB GPU Pods
80GB HBM2e memory, PCIe and SXM4 variants available. Perfect for large language model training and scientific computing. From $0.88/hour.
NVIDIA H100 GPU Pods
Latest Hopper architecture, 80GB HBM3 memory. Optimal for training frontier AI models like GPT-4 class systems. Enterprise-grade performance.
NVIDIA RTX 3090 GPU Pods
24GB GDDR6X memory, excellent price-to-performance ratio for development and testing. Budget-friendly option from $0.20/hour.
NVIDIA L40 GPU Pods
48GB GDDR6 memory, Ada Lovelace architecture. Ideal for AI inference at scale and video processing workloads.
NVIDIA RTX A6000 GPU Pods
48GB GDDR6 memory, professional Ampere GPU. Great for 3D rendering, CAD, and AI development workloads.
GPU Pod Locations
Our GPU pods are available in multiple data center locations worldwide for low-latency access:
- United States (Des Moines, Beltsville, Kansas City)
- Europe (Frankfurt, Amsterdam, Paris)
- Asia (Tokyo, Singapore, Seoul)
- Russia (Moscow, Novosibirsk)
- Belarus (Minsk)
Why Choose VoltageGPU for GPU Rental?
- 85% cheaper than AWS - Pay only for what you use
- Deploy in 30 seconds - Instant GPU access
- No commitment - Hourly billing, stop anytime
- SSH access - Full root access to your pod
- Pre-installed frameworks - PyTorch, TensorFlow, CUDA ready
- 100+ GPU pods available - Always find capacity
Use Cases for GPU Cloud Rental
- Training large language models (LLMs) like Llama, Mistral, Qwen
- Fine-tuning AI models with LoRA and QLoRA
- Running AI inference APIs at scale
- Image generation with Stable Diffusion, FLUX, DALL-E
- Video processing and AI upscaling
- Scientific computing and simulations
- 3D rendering and visualization
- Cryptocurrency mining (where permitted)
Getting Started with VoltageGPU
- Browse available GPU pods on this page
- Select a pod that matches your requirements
- Click "Rent Now" to deploy instantly
- Connect via SSH and start your workload
- Pay only for the hours you use
Frequently Asked Questions
How much does it cost to rent a GPU on VoltageGPU?
GPU rental prices on VoltageGPU start at $0.25/hour for RTX 4090, $0.88/hour for A100 80GB, and vary based on GPU type and configuration. This is 85% cheaper than AWS and other major cloud providers.
What GPUs are available for rent on VoltageGPU?
VoltageGPU offers NVIDIA RTX 4090 (24GB), RTX 3090, A100 (40GB/80GB), H100 (80GB), H200 (141GB), and B200 (192GB) GPUs. All are available on-demand with instant deployment.
How fast can I deploy a GPU pod?
GPU pods typically deploy in 30-60 seconds with pre-installed ML frameworks like PyTorch, TensorFlow, and JAX. High-demand GPUs like H100 may take up to 2 minutes during peak times.
Can I use my own Docker images on VoltageGPU?
Yes, VoltageGPU supports custom Docker images from Docker Hub, GitHub Container Registry, and private registries. You can also use our pre-built templates with popular ML frameworks.
What locations are GPU pods available in?
VoltageGPU has GPU pods available in North America (USA, Canada), Europe (Germany, France, UK), and Asia (Japan, Singapore). Our decentralized network ensures low latency worldwide.
What software is pre-installed on GPU pods?
All GPU pods come with CUDA, cuDNN, PyTorch, TensorFlow, and Python pre-installed. You can also use custom Docker images or our pre-built templates for specific AI frameworks.
Is there a minimum rental period?
No minimum rental period. You are billed hourly and can stop your pod at any time. Pay only for the compute time you actually use.