GPU compute for the job
Launch GPU configurations for AI/ML workloads without buying and maintaining your own hardware.
GPU CLOUD FOR AI / ML
GPU compute for AI — without owning the hardware
Rent GPU compute for training, fine-tuning and inference. Choose a configuration, launch an instance and manage it from one dashboard.
On-demand GPU · prepaid balance · one dashboard
See how it worksNew GPU instance
BillingUsage based
Choose a configuration that fits the task.
No hardware purchase
Prepaid spend control
One management interface
HOW IT WORKS
From configuration to a running GPU
Without buying hardware or dealing with unnecessary cloud operations.
Choose a GPU
Select a suitable configuration by GPU, memory, region and other available parameters.
Fund your balance
Add funds to your prepaid balance and see what is available for usage before you deploy.
Launch an instance
Create a GPU instance from the dashboard and receive connection details after provisioning.
Control your spend
Track balance and usage, then stop or terminate a resource when it is no longer needed.
CAPABILITIES
The essentials, in one place
Three practical advantages for teams that need GPU capacity without owning servers.
One dashboard
Configurations, active instances, balance and usage history stay together.
Spend control
See the cost before launch and use a prepaid balance to keep spending under control.
WORKLOADS
For work that needs a GPU
Model training, fine-tuning, inference, computer vision and research — when local hardware is no longer enough.
Model training
Training neural networks creates large computational workloads across many repeated operations.
Why GPUParallel processing shortens training cycles compared with CPU-only work.
USE CASES
Who XGPU is for
Developers and researchers
For training, experiments and work that exceeds a local GPU.
Startups and small teams
When capacity is needed on demand, but buying a server is premature.
LAUNCH SCOPE
What we are preparing for launch
A focused first release covering the essential path from balance to a running resource.
Available GPUs, regions and templates will be published before launch.
- GPU instances for AI/ML workloads
- XGPU dashboard
- Prepaid balance
- Clear cost before launch
- Instance lifecycle controls
- SSH access
- Core AI/ML templates
- Usage and charge history
PRICING
Pricing will be published before launch
Before XGPU opens, we will publish available configurations, regions and the final usage cost.
FAQ
Questions before launch
What is XGPU?
XGPU is a service for renting GPU compute for AI/ML and other demanding workloads.
Do I need to buy a server or GPU?
No. XGPU is designed to provide on-demand compute without buying your own hardware.
What workloads will XGPU support?
Model training, fine-tuning, inference, computer vision, LLM workloads, research and other GPU-intensive tasks.
How will billing work?
XGPU is planning a prepaid model: add funds to your balance and resource usage is charged against it. Payment methods will be published before launch.
Which GPUs will be available?
The catalog is still being prepared. Current models, regions and prices will be published before launch.
How will I access an instance?
After an instance starts, XGPU will show the available connection details. The primary planned workflow is SSH with supported templates.
When will XGPU launch?
The service is being prepared for launch. Join early access and we will notify you when access opens.
EARLY ACCESS
Be first to know when XGPU goes live
Leave your email and we’ll notify you about launch, initial GPU availability and early access.