GPU VPS Hosting
Buy Flexible GPU VPS infrastructure for AI development, machine learning, weergave, and GPU-accelerated workloads.
- Virtualized GPU Acceleration
- Fast GPU VPS Deployment
- AI & CUDA Ready Environment
- High-Speed Datacenter Networking
Starting at
€1.10 /h
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Full GPU performance with virtualization
GPU VPS hosting provides a powerful and flexible environment for GPU-accelerated applications while keeping infrastructure costs manageable. Unlike dedicated GPU servers, GPU VPS instances allow developers and teams to access high-performance GPUs within a virtualized environment that is easier to deploy, scale, and manage.
This makes GPU VPS an excellent solution for AI experimentation, model testing, ontwikkelomgevingen, rendering tasks, and applications that require GPU acceleration without long-term hardware commitments.
Ideal for usage in
AI Model Development
GPU VPS environments are ideal for testing machine learning models, building AI prototypes, and experimenting with neural networks before moving workloads to large production environments.
Deep Learning Inference
Run real-time AI inference workloads such as image recognition, text processing, and recommendation engines using GPU acceleration for faster response times.
GPU Remote Workstations
Use GPU VPS servers as powerful remote desktops for 3D design, CAD software, video editing, and creative workloads that benefit from GPU acceleration.
Machine Learning Education
GPU VPS hosting provides a cost-effective environment for students, researchers, and developers learning AI frameworks like TensorFlow or PyTorch.
GPU-Accelerated Applications
Deploy applications that benefit from GPU compute, including scientific simulations, data analysis pipelines, and parallel processing workloads.
VPS GPU Server Pricing
Our infrastructure is strategically located in the center of Europe, giving our customers an excellent location within the European Union and close to the intersection
H200 GPU
Flexible on-demand GPU compute for AI training, inference workloads, and high-performance applications.$2.30 per GPU / hour
Best Price
Top Featured
NVIDIA H200 GPU acceleration
141GB HBM3e GPU memory
Hourly pay-as-you-go billing
Krachtige NVMe-opslag
Fast 10–100Gbps networking
Ideal for AI training and inference
Scalable GPU cloud infrastructure
Deploy within minutes
Optimized for LLM workloads
Enterprise GPU Infrastructure
Need large-scale GPU capacity for AI training clusters or enterprise workloads?$ Custom Pricing
For multi-GPU deployments and dedicated clusters Top Featured
Multi-GPU H200 clusters
Dedicated GPU servers
Custom CPU, RAM, and storage configurations
High-speed GPU networking infrastructure
Designed for AI training and HPC workloads
Enterprise-grade performance and reliability
Scalable AI compute environments
Priority technical support
Core Features of Our GPU VPS Servers
GPU-Accelerated Virtual Infrastructure
Each GPU VPS instance includes access to dedicated GPU resources optimized for compute-intensive applications such as AI inference, weergave, and machine learning.
Fast Deployment and Flexible Scaling
Launch GPU virtual machines quickly and scale your infrastructure as your workloads grow without needing to manage physical hardware.
NVIDIA GPU Hardware
Our infrastructure is powered by professional NVIDIA GPUs designed for AI, machine learning, and GPU-accelerated computing workloads.
High-Speed NVMe Storage
GPU VPS servers use high-performance NVMe SSD storage to ensure fast data processing and quick access to large datasets.
European Datacenter Hosting (GDPR Ready)
All GPU VPS infrastructure is hosted in secure European datacenters, ensuring reliable connectivity and compliance with GDPR data protection regulations.
Volledige roottoegang
You receive full administrative access to your GPU VPS, allowing you to install custom software stacks, AI frameworks, containers, and operating systems.
Included Features of Our GPU Dedicated Servers
- NVIDIA GPU acceleration
- GPU virtualized infrastructure
- High-speed NVMe storage
- Flexible GPU compute resources
- CUDA compatible environment
- AI framework ready servers
- Fast VM deployment
- Root access and full control
- Low latency network connectivity
- GPU-optimized virtualization
- Secure European datacenter hosting
- Scalable GPU infrastructure
- GPU remote desktop capability
- DDoS protected infrastructure
- 24/7 infrastructure monitoring
Need Help Choosing the Right GPU Infrastructure?
GPU VPS Frequently Asked Questions
Find answers to common questions about GPU VPS servers, deployment options, prijzen, and AI workload capabilities.
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A GPU VPS is a virtual private server that includes GPU acceleration, allowing users to run applications that require parallel computing power such as AI workloads, rendering tasks, and machine learning experiments.
GPU VPS hosting is commonly used for AI development, machine learning inference, remote GPU workstations, videoweergave, scientific simulations, and GPU-accelerated applications.
GPU VPS servers provide virtualized GPU resources within a shared infrastructure, while GPU dedicated servers provide full physical GPU hardware exclusively for one user.
Ja. GPU VPS hosting supports popular AI and machine learning frameworks such as TensorFlow, PyTorch, CUDA, and other GPU-accelerated libraries.
Ja. Our GPU VPS infrastructure supports CUDA-based applications and environments designed for GPU-accelerated computing.
Our GPU VPS infrastructure is hosted in secure European datacenters with reliable network connectivity and GDPR-compliant data protection standards.
Our GPU infrastructure is hosted in secure European datacenters with high network reliability and strong data protection standards, ensuring GDPR-compliant hosting for businesses operating in or targeting the European market.
Ja. All GPU VPS instances include full root access, allowing you to configure the operating system and install any software you require.
Ja. You can upgrade your GPU VPS resources or deploy additional instances as your workloads grow.
GPU VPS is best suited for AI development, testen, and inference workloads. Large-scale model training typically requires more powerful dedicated GPU servers.