On-Demand GPU Rentals
Rent NVIDIA RTX 4090, RTX 5090, and RTX PRO 6000 GPUs by the hour. No long-term contracts, no minimum spend. Launch your first instance in minutes.
Platform
Built for AI Workloads
Everything you need to train models, run inference, and iterate on GPU-intensive projects without managing hardware.
Persistent Storage
Attach NVMe volumes that persist across sessions. Stop an instance, restart it later, and pick up exactly where you left off.
Fast Spin-Up
Go from zero to a running GPU instance in under a minute. Pre-built images for PyTorch, vLLM, and ComfyUI are ready to launch.
Datacenter-Grade GPUs
All GPUs are hosted in Tier 3 facilities with redundant power, redundant ISP connections, and backup parts on-site.
Reservations
Lock in capacity with 1-month or 3-month reservations at reduced rates. Convert from hourly to reserved at any time.
Container Mode
Run Docker containers directly on GPU hardware. Use familiar CLI tools, pull any image, and deploy multi-container workloads.
Full Virtual Machines
Get a dedicated VM with root access, your own kernel, and full IOMMU-enforced GPU isolation. No shared resources, no noisy neighbors.
Pricing
GPU Rentals at a Fraction of Hyperscaler Prices
Run AI training and deep learning workloads without the high costs of cloud platforms. Transparent, pay-as-you-go pricing.
RTX 4090
$0.39/hr
RTX 5090
$0.62/hr
RTX PRO 6000
$1.34/hr
Global Availability
Launch GPUs Where You Need Them
Choose from datacenters across the US, UK, Italy, and Central Asia. Minimize latency, meet data residency requirements, and keep GPU availability even when your preferred region is full.
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Need Dedicated GPU Infrastructure?
On-demand rentals are the starting point. When you are ready to scale, talk to us about sovereign AI deployments with dedicated infrastructure, custom SLAs, and enterprise support.