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GPU Dedicated Servers
Buy Bare metal GPU Server for AI training, rendu, simulation, and demanding enterprise workloads.
- Optimized for AI & LLM workloads
- Bare Metal GPU Performance
- Enterprise NVIDIA GPU Hardware
- High-Speed Datacenter Networking
À partir de
€110 /mo

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Full GPU performance without virtualization overhead
GPU dedicated servers are ideal for teams that need maximum control over their environment. You get isolated hardware resources, direct access to the GPU, and the flexibility to build your own AI, HPC, or rendering stack exactly the way you need it.
Ideal for usage in
AI Model Training
Train deep learning models, large neural networks, and LLM architectures using the full power of dedicated GPUs. With direct hardware access and stable performance, dedicated GPU servers are ideal for long training cycles and large datasets.
High-Performance Computing (HPC)
Run GPU-accelerated simulations, scientific calculations, and engineering workloads that require massive parallel processing. Dedicated GPU infrastructure provides consistent compute performance for demanding HPC environments.
3D Rendering & VFX Production
Accelerate rendering pipelines for animation, architecture visualization, and visual effects. Dedicated GPUs dramatically reduce render times and allow studios to process complex scenes and high-resolution outputs faster.
AI Inference Platforms
Deploy production-grade inference servers capable of handling real-time AI requests such as image recognition, NLP models, and recommendation engines. Dedicated GPU servers ensure reliable performance under continuous load.
Large-Scale Data Processing
Process massive datasets using GPU-accelerated frameworks for analytics, machine learning pipelines, and big data workflows. Dedicated GPU servers help organizations analyze data faster and build scalable AI-driven applications.
Dedicated 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

GPU - N1
i9-9900K/E-2288G
1x AMD R9700 32GB
1 Gbit/s-Port
64 FR
1Disque SSD NVMe To
€553.00

GPU - N2
i9-9900K/E-2288G
1x A5000 24GB
1 Gbit/s-Port
64 FR
1Disque SSD NVMe To
€360.00

GPU - N4
EPYC 7402p
4x 7900XTX 24GB
1 Gbit/s-Port
256 FR
2x2TB NVMe SSD
€990.00

GPU - N4
2xEPYC 9354
1x 6000 PRO 96GB
10 Gbit/s-Port
1024 Gb
2x3.84TB NVMe SSD
€2,400.00
Core Features of Our GPU Dedicated Servers
High-Performance NVIDIA GPU Infrastructure
Our GPU dedicated servers are powered by modern NVIDIA accelerators designed for demanding workloads such as AI training, machine learning, deep learning, and GPU-accelerated computing. Dedicated hardware ensures consistent performance without shared resource limitations.
Bare Metal GPU Performance
With dedicated GPU servers you get full access to physical hardware without virtualization overhead. This allows maximum performance for compute-intensive workloads such as large AI models, rendering pipelines, and scientific simulations.
Optimized for AI and Deep Learning
The infrastructure is built to support modern AI frameworks such as CUDA, TensorFlow, and PyTorch. This makes it easy to deploy training environments, run inference pipelines, or build custom GPU-accelerated applications.
High-Speed Network Connectivity
Our GPU servers are connected to high-performance network infrastructure with high bandwidth ports and low latency routing. This is ideal for distributed workloads, large dataset transfers, and real-time AI applications.
European Datacenter Hosting with GDPR Compliance
All GPU servers are hosted in secure European datacenters with strong data protection standards. Hosting within the EU ensures GDPR compliance and provides a trusted environment for businesses handling sensitive data or regulated workloads.
Full Root Access and Infrastructure Control
You receive full administrative control over the server environment. Install your preferred operating system, configure AI frameworks, deploy containers, or run custom workloads with complete flexibility.
Included Features of Our GPU Dedicated Servers
- Enterprise NVIDIA GPU hardware
- Bare metal GPU performance
- Full GPU passthrough access
- High-performance NVMe storage
- Large memory configurations
- Multi-GPU server options
- AI-optimized infrastructure
- CUDA & AI framework ready
- Ultra-low latency networking
- High bandwidth network ports
- Dedicated CPU resources
- Flexible OS deployment
- Racine & remote console access
- Advanced DDoS protection
- 24/7 infrastructure monitoring
Need Help Choosing the Right GPU Infrastructure?
GPU Dedicated Server Frequently Asked Questions
Find answers to common questions about GPU servers, deployment options, prix, and AI workload capabilities.

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A GPU dedicated server is a physical server equipped with one or more high-performance graphics processing units (GPUs). Unlike shared or virtual environments, the GPU resources are fully dedicated to your workloads, providing maximum performance for AI training, rendu, simulations, and other compute-intensive applications.
GPU servers are commonly used for artificial intelligence, machine learning, deep learning training, video rendering, scientific simulations, informatique, and GPU-accelerated applications that require parallel computing power.
Our GPU dedicated servers support modern NVIDIA GPUs designed for professional workloads, including models optimized for AI, deep learning, rendu, and high-performance computing.
A GPU VPS provides virtualized GPU resources that are shared within a virtualization environment, making it more affordable and flexible. A GPU dedicated server gives you full access to the physical GPU hardware without virtualization, delivering maximum performance and stability.
Oui. GPU dedicated servers are ideal for AI model training, including deep learning frameworks such as TensorFlow, PyTorch, and CUDA-based environments. Dedicated GPUs significantly accelerate model training and large dataset processing.
Oui. Our GPU servers support NVIDIA CUDA and are fully compatible with common AI and machine learning frameworks such as TensorFlow, PyTorch, JAX, and other GPU-accelerated tools.
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.
Oui. All GPU dedicated servers include full root access and complete control over the operating system and software environment, allowing you to install custom frameworks, conteneurs, et applications.
Oui. You can install your preferred operating system, including popular Linux distributions or Windows Server, depending on your project requirements.
Oui. You can upgrade to more powerful GPU servers or deploy additional nodes as your workload grows, allowing you to scale AI training, rendu, or compute workloads when needed.