A GPU VPS is a virtual server with access to GPU acceleration in addition to CPU, RAM, storage and network resources. It is intended for workloads that can benefit from parallel GPU processing.
GPU VPS Hosting
GPU VPS hosting for AI inference, machine learning, CUDA workloads, image generation, 3D rendering, video processing and compute-intensive applications that need NVIDIA RTX acceleration.
Why Choose a GPU VPS?
A GPU VPS adds graphics-processing acceleration to a virtual-server environment, giving suitable applications access to parallel GPU compute in addition to CPU, RAM and SSD storage.
This is useful for workloads that can take advantage of NVIDIA GPU acceleration, including AI inference, model experimentation, computer vision, rendering, media processing and other parallel-compute tasks.
Built for Parallel and Compute-Intensive Workloads
AI & Machine Learning
Run inference, model testing, experimentation and suitable training workloads using GPU acceleration where your framework and model support NVIDIA GPUs.
CUDA Compute
Use NVIDIA CUDA-enabled applications and libraries for workloads that benefit from massively parallel processing.
Generative AI & Vision
Deploy suitable image-generation, computer-vision and visual AI workloads where available GPU memory matches the model requirements.
3D Rendering
Accelerate compatible rendering workloads, visualization, design previews and GPU-assisted content-production pipelines.
Video Processing
Use GPU acceleration for compatible encoding, transcoding, effects and media-processing applications.
Remote GPU Infrastructure
Access GPU compute remotely without purchasing, housing and maintaining a local GPU workstation or dedicated GPU server.
GPU Memory Matters
For AI and rendering workloads, GPU memory (VRAM) can be as important as raw GPU compute. Larger models, higher-resolution assets and more complex scenes may require more VRAM.
| GPU Memory Range | Typical Fit |
|---|---|
| 8 GB | Entry GPU workloads, development, lighter AI inference, image tasks and GPU-enabled applications. |
| 16–24 GB | More demanding inference, larger models, rendering, visual workloads and professional applications. |
| 32–48 GB | Higher-memory AI models, larger datasets, complex rendering and heavier GPU workloads. |
| 96 GB | Very large GPU-memory workloads requiring substantially more VRAM than mainstream cards. |
GPU VPS Plans
NVIDIA RTX GPU VPS configurations for AI, CUDA, rendering, video processing and accelerated compute workloads.
| Plans | GPU | GPU Memory | Processor | Memory | Storage | Bandwidth | Price | |
|---|---|---|---|---|---|---|---|---|
| PlansBronze GPU VPS - RTX 5060 | GPURTX 5060 | GPU Memory8 GB GDDR7 | Processor16 CPU Cores | Memory28GB RAM | Storage240GB SSD | Bandwidth200 Mbps Unmetered | Price$199.00 | Order Now |
| PlansSilver GPU VPS - RTX Pro 2000 | GPURTX Pro 2000 | GPU Memory16 GB GDDR7 | Processor16 CPU Cores | Memory28GB RAM | Storage240GB SSD | Bandwidth300 Mbps Unmetered | Price$349.00 | Order Now |
| PlansGold GPU VPS - RTX A4000 | GPURTX A4000 | GPU Memory16 GB GDDR6 | Processor24 CPU Cores | Memory28GB RAM | Storage320GB SSD | Bandwidth300 Mbps Unmetered | Price$299.00 | Order Now |
| PlansGold Plus GPU VPS - RTX Pro 4000 | GPURTX Pro 4000 | GPU Memory24 GB GDDR7 | Processor24 CPU Cores | Memory56GB RAM | Storage320GB SSD | Bandwidth500 Mbps Unmetered | Price$449.00 | Order Now |
| PlansDiamond GPU VPS - RTX Pro 5000 | GPURTX Pro 5000 | GPU Memory48 GB GDDR7 | Processor24 CPU Cores | Memory56GB RAM | Storage320GB SSD | Bandwidth500 Mbps Unmetered | Price$799.00 | Order Now |
| PlansDiamond Plus GPU VPS - RTX 5090 | GPURTX 5090 | GPU Memory32 GB GDDR7 | Processor32 CPU Cores | Memory84GB RAM | Storage400GB SSD | Bandwidth500 Mbps Unmetered | Price$899.85 | Order Now |
| PlansPlatinum GPU VPS - RTX Pro 6000 | GPURTX Pro 6000 | GPU Memory96 GB GDDR7 | Processor32 CPU Cores | Memory84GB RAM | Storage400GB SSD | Bandwidth1000 Mbps Unmetered | Price$1399.00 | Order Now |
GPU VPS Questions
Common uses include AI inference, machine-learning experiments, image generation, computer vision, CUDA applications, rendering, visualization and compatible video-processing workloads.
Choose based on the memory requirements of your model, dataset, render scene or application. Larger AI models and high-resolution rendering generally require more VRAM.
No. Real application performance depends on architecture, memory bandwidth, VRAM capacity, software optimization, drivers and the type of workload.
Provisioning requires a minimum of approximately 24 hours and can take longer depending on current GPU availability and deployment requirements.
If the exact GPU cannot be supplied, Systron may offer a higher-specification GPU when possible. If that is not suitable or available, a full refund will be offered with no questions asked.
The listed NVIDIA RTX GPUs are intended for compatible GPU-accelerated workloads. Confirm your application, driver, CUDA and framework requirements before ordering.
Visit the Systron VPS Hosting hub to compare GPU VPS, Windows VPS, Managed NVMe VPS and Unmanaged SSD VPS options.
Need Help Choosing a GPU VPS?
Tell us your AI model, rendering software, CUDA workload, GPU-memory requirement and expected usage. We can help you select a suitable GPU VPS configuration.