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Run Your AI Applications on Powerful Infrastructure

Run, train and scale AI applications on powerful NVIDIA GPUs. Choose between dedicated GPU servers and flexible GPU Cloud infrastructure, hosted in European data centers with 24/7 expert support.

Choose the Right GPU for Your AI Workload

Choose the GPU infrastructure that fits your workload – from flexible GPU Cloud for development and inference to Dedicated GPU Servers for demanding AI training and large-scale models. Hosted in European data centers and supported by our experts 24/7.

Cloud RTX PRO 6000

A flexible GPU Cloud with NVIDIA RTX PRO 6000 for demanding AI workloads, rendering, graphics operations and visual computing. Get high GPU performance without a long-term commitment and use the capacity according to your current needs.
  • NVIDIA RTX PRO 6000
  • Ideal for AI, rendering and professional graphics
  • Flexible GPU performance without a long-term commitment
  • Suitable for short-term projects and performance scaling

Cloud RTX PRO 5000

GPU performance available on-demand. For projects where flexibility, rapid deployment, and workload-based scaling are essential. No need to invest in your own hardware. 3xNVENC and 3xNVDEC deliver significant improvements for professional video and streaming, particularly native support for formats that were previously the domain of CPUs or specialized hardware.
  • NVIDIA RTX PRO 5000 GPUs
  • 3xNVENC a 3XNVDEC
  • 48GB VRAM
  • Ideal for AI training, rendering, and real-time graphics
  • A scalable solution for demanding computational tasks

Cloud NVIDIA L40S

A high-performance GPU server designed for graphics operations, AI tasks, and machine learning. Thanks to its scalable architecture, it offers fast and efficient data processing optimized for popular frameworks such as TensorFlow and PyTorch.

Starting at 26 euros per day, this price includes access to an entire GPU, allowing you to maximize its performance.
  • Optimized for machine learning and rendering
  • High scalability and availability in the cloud
  • Support for AI frameworks and graphics computing

Dedicated NVIDIA RTX PRO 6000

A powerful dedicated GPU server designed for demanding AI workloads, 3D rendering, graphics operations and advanced visual computing. It provides full hardware access, high computing performance and a stable environment without shared resources.
  • NVIDIA RTX PRO 6000
  • Ideal for AI, rendering and professional graphics
  • Full GPU access with maximum performance
  • Dedicated environment for demanding compute workloads

Dedicated NVIDIA B300

High-performance GPU server designed for advanced AI workloads and large-scale computing. With NVIDIA B300 GPUs and 288 GB of GPU memory per GPU, it delivers exceptional performance for AI training, inference, machine learning and demanding HPC applications.
  • 2× Intel Xeon 6767P, 64 Cores
  • 2.048 GB RAM (32× 64 GB 2Rx4 PC5-6400B)
  • 8× NVIDIA B300, 288 GB GPU Memory
  • 8× 1,92 TB NVMe RI E1.S SED SSD
  • 2× 1,92 TB NVMe RI M.2 SSD
  • 10/25 GbE Ethernet
  • 400G InfiniBand NDR

Dedicated NVIDIA L40S

High-performance dedicated server with 4× NVIDIA L40S GPUs and NVLink, designed for graphics operations and demanding AI tasks. Full access to the hardware without owning it. We purchase, install and maintain the GPUs; you rent the full, dedicated performance on a monthly basis.
  • NVIDIA L40S GPUs
  • 4 GPU cards per server (NVLink enabled)
  • 48 GB GDDR6 ECC memory per GPU
  • Full hardware access, maximum performance
  • Ideal for AI training, rendering, and real-time graphics

Featured AI Models & Frameworks

DeepSeek

Enterprise-grade LLM for chatbots, text summarization, and code generation.

Stable Diffusion XL

Generative AI for high-speed image creation in marketing, design, and visualization.

MONAI

AI-powered medical image analysis for diagnostics and healthcare automation.

Mistral

Open-weight LLM for advanced NLP tasks.

Llama 2 & 3

Custom private LLM deployment for business automation and internal knowledge management.

Llama 3.1 Claude

Next-gen LLM for business automation and chatbot solutions.

Schedule a free consultation

Built for Your AI Applications

Large Language Models

Deploy and run LLMs such as Llama, Mistral or DeepSeek with the compute power and GPU memory demanding models required.

Generative AI

Run image, video and multimodal AI applications with high-performance infrastructure designed for demanding workloads.

AI Inference

Bring trained AI models into production with reliable performance and predictable resources.

AI Training & Fine-Tuning

Train and fine-tune models on scalable infrastructure without investing in your own GPU hardware.

Machine Learning

Build, test and deploy machine learning workloads on infrastructure tailored to your requirements.

Computer Vision

Power image recognition, video analytics and real-time computer vision applications.

Unleash the Full Potential of AI with vshosting

NVIDIA Catalog

A comprehensive platform featuring over 1,000 GPU-accelerated applications, optimized models, and application frameworks. This robust ecosystem simplifies the development, deployment, and scaling of AI, ML, and High-Performance Computing (HPC) solutions.

dstack

dstack is a streamlined alternative to Kubernetes and Slurm, specifically designed for AI. It simplifies container orchestration for AI workloads both in the cloud and on-prem, speeding up the development, training, and deployment of AI models. 
Get personalized recommendations for your AI infrastructure.
Contact us

AI Infrastructure Without the Infrastructure Headache

Flexible or Dedicated

Choose infrastructure that matches your workload instead of adapting your workload to your infrastructure.

Focus on Your AI Application

We take care of the infrastructure behind it.

24/7 Expert Support

Infrastructure experts are available around the clock.

European Data Centers

Run your AI applications on infrastructure hosted in Europe.

Built to Scale

From initial testing to demanding production AI workloads.

High-Speed Connectivity

Low-latency, high-throughput networking for AI workloads.

Ready to Run Your AI Application?

Tell us what you want to run. Our experts will help you find the infrastructure that fits your AI workload.
Discuss Your AI Project

FAQs – AI/ML Applications on High-Performance GPU Infrastructure

1. What are the benefits of vshosting GPU infrastructure for AI/ML applications?

vshosting is a European neocloud provider focused on high-performance cloud and GPU infrastructure. We provide powerful NVIDIA GPU infrastructure for AI/ML workloads – from development and inference to demanding AI training.

Depending on your requirements, you can choose between flexible GPU Cloud and high-performance Dedicated GPU Servers. Our infrastructure is hosted in European data centers and supported by our experts 24/7.

2. Which NVIDIA GPU models are available?

Our GPU portfolio provides solutions for AI workloads with different performance and GPU memory requirements. Available NVIDIA GPUs include:

  • NVIDIA RTX PRO 6000 – for generative AI, inference, rendering and memory-intensive workloads
  • NVIDIA RTX PRO 5000 – for machine learning, rendering and AI development
  • NVIDIA L40S – for AI inference, generative AI and visualization
  • NVIDIA H200 – for large models, LLMs, AI training and HPC workloads
  • NVIDIA B300 – for highly demanding AI training and large-scale models

For compute-intensive projects, multi-GPU configurations such as 8× H200 HGX and 8× B300 are also available.

3. How much does vshosting GPU infrastructure cost?

Pricing depends on the selected GPU, configuration and type of infrastructure. We offer both flexible GPU Cloud solutions and Dedicated GPU Servers.

Our experts can help you find the right configuration for your AI workload and budget.

4. Can I customize my AI/ML infrastructure?

Yes. Our GPU infrastructure can be tailored to the specific requirements of your AI/ML workload. GPU type, GPU memory, CPU, RAM, storage and network configuration can be selected according to your application's requirements.

Our experts support you from infrastructure planning through to implementation.

5. Is vshosting GPU infrastructure suitable for Large Language Models (LLMs)?

Yes. Our GPU infrastructure is suitable for running LLMs such as Llama, Mistral and DeepSeek, as well as other compute- and memory-intensive models.

With the right GPU configuration, the infrastructure can be used for inference, fine-tuning and AI training.

6. Which AI/ML workloads can run on vshosting GPU infrastructure?

Our infrastructure supports a wide range of AI and machine learning use cases, including:

  • Large Language Models (LLMs) – such as Llama, Mistral and DeepSeek
  • Generative AI – image, video and multimodal AI applications
  • AI Inference – running trained models in production
  • AI Training & Fine-Tuning – training and optimizing AI models
  • Computer Vision – image recognition, video analytics and real-time processing
  • Machine Learning – developing, testing and running ML models
  • HPC – workloads with high computational requirements

7. Is vshosting GPU infrastructure GDPR-compliant?

Yes. Our GPU infrastructure is hosted 100% in European data centers, allowing you to run your AI and ML workloads in Europe while meeting European data protection and GDPR requirements.

8. How does vshosting GPU infrastructure differ from public cloud solutions?

With vshosting, you don't have to adapt your AI workload to predefined infrastructure. Instead, you can choose GPU infrastructure that fits your application and technical requirements.

Key benefits include:

  • GPU Cloud or dedicated infrastructure to match your workload
  • High-performance NVIDIA GPUs for a wide range of AI/ML use cases
  • Transparent and predictable costs
  • 100% European data centers
  • 24/7 expert support
  • Scalable infrastructure from initial testing to demanding production AI workloads

9. Can vshosting GPU infrastructure be integrated into existing AI/ML environments?

Yes. Our GPU infrastructure can be used with modern AI/ML frameworks and tools and integrated into existing development and machine learning environments.

Our experts can support you in planning your infrastructure and selecting the right configuration for your existing technology stack.

10. How do I choose the right GPU for my AI workload?

The right GPU depends on your application, model size, required GPU memory and performance requirements.

GPU Cloud can be an ideal choice for development, testing and flexible AI inference. Dedicated GPU Servers are designed for larger and continuous workloads, AI training and large models that require high performance and dedicated resources.

Not sure which GPU is right for your workload? Our experts can help you find the right infrastructure for your AI project.