
How to Deploy GPU Servers for AI and Model Training
Learn how to deploy GPU servers for AI model training and simulation with this step-by-step guide. Follow each stage to
Rent a dedicated GPU server with reserved NVIDIA GPU resources for workloads that need reliable, continuous access to GPU compute. Choose Windows or Linux, get full root or administrator access, install your own software and use the same persistent server environment for the duration of your rental.
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Your GPU Server Stays Reserved for You
1×, 2×, 4× and 5× GPU servers
Root/Admin
Windows or Linux
Daily, Weekly, Monthly
Keep the same OS, applications, files and configuration throughout the active rental period.

GPU resources are not shared with others.

Install and manage your server environment.

Daily, weekly and monthly rental periods.

Keep your environment configured between work sessions.
WHY PERSISTENT COMPUTE?
Not every workload is a short GPU job. Development environments, recurring processing tasks, production applications and professional workflows often need the same machine to remain available for an extended period.
USE CASES
Run rendering, visualization and 3D applications in a dedicated GPU environment you fully control.
Accelerate video encoding, transcoding, image processing and other demanding media workflows.
Run scientific, simulation and engineering workloads accelerated by NVIDIA GPUs.
Keep GPU-accelerated applications running for weeks or months in the same configured environment.
Run custom CUDA applications, numerical processing and other NVIDIA GPU-accelerated workloads.
Run private machine learning workloads on GPU servers and persistent inference.
CONFIGURATION
Choose the GPU configuration based on your software, VRAM requirements and ability to use multiple GPUs efficiently.
A single-GPU server can be suitable for development, inference and workloads that use one GPU efficiently. Multi-GPU servers are intended for applications that can distribute processing or run multiple GPU tasks in parallel.
| Need | Single GPU | Multi GPU |
|---|---|---|
| Interactive development | Strong fit | Usually unnecessary |
| Parallel jobs | Limited | Strong fit |
| Combined VRAM | N/A | Depends on software |
| Multiple simultaneous GPU tasks | Limited | Strong fit |
Long-term usage
For workloads used regularly, monthly rental lets you keep one persistent GPU environment available throughout the month with defined hardware and predictable pricing.
Monthly GPU server rental is particularly suitable when the server is used every day, hosts a persistent application or requires a software environment that would be inconvenient to rebuild repeatedly.
PRICING
Compare available NVIDIA GPU models, GPU count, CPU resources, RAM, storage and daily, weekly or monthly rental periods.
SIMPLE PROCESS
Select GPU model, GPU count, CPU, RAM and rental period.
Choose Windows or Linux where available and receive remote access.
Configure your own software and keep the same environment for the active rental period.
Tell us what software you plan to run, required GPU memory and how long you expect to use the server. We can recommend a suitable configuration.
Dedicated GPU Servers are designed primarily for compute, processing and server-side workloads. If you need a remote desktop for CAD, BIM, 3D or other interactive professional applications, explore our GPU Cloud Workstations.
What Customers Say About MaxCloudON
“Best cloud. Excellent service and support, awesome pricing. There are no restrictions on the installed software. Once the servers were configured, my company used them for months without making any changes.”
Information Technology Manager at Visual Method
Trustpilot Review
“I’ve been using different servers, multiple times. It just works. Plain and simple.”
“Great alternative to AWS and RebusFarm for fast rendering”
Trustpilot review
The GPU resources assigned to the server plan are reserved for that server environment and are not shared with other customers.
Yes. Daily, weekly and monthly rental periods are available, depending on configuration.
Available GPU servers are normally provisioned within minutes after the selected plan is activated.
Yes. MaxCloudON GPU servers provide root access on Linux or administrator access on Windows, allowing you to configure the environment and install compatible software.
Yes. Root or administrator access lets you install compatible applications and tools. Required software licenses remain your responsibility.
MaxCloudON GPU servers provide dedicated GPU resources in a private server environment. Some configurations may use virtualization, so a server should only be considered bare metal when that specific configuration is explicitly described as bare metal.
Yes. Windows and Linux environments are available depending on the selected configuration and software requirements.
No. MaxCloudON GPU server plans include unmetered traffic.
Need deeper details about our billing and payments, file retention policies, software usage, or network security? Visit our centralized MaxCloudON FAQ Platform Hub .
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