GPU Server
NVIDIA® RTX PRO 6000 Blackwell — now on dedicated hardware
- NEW The latest NVIDIA® RTX PRO 6000 Blackwell GPUs
- Purpose-built for complex AI and data workloads
- Hosted in secure, reliable data centers
- Pay only for what you use — billed by the minute
Compute faster, scale smarter, pay as you go
Everything you need to run demanding GPU workloads, without the overhead.
GPUs process massive data sets faster with cores that work in parallel, making them ideal for demanding tasks like AI, deep learning and big data.
IONOS hosts your data and workloads in ISO 27001-certified data centers, independently audited to enterprise security standards.
Pay only for what you use, down to the minute, with no minimum term. Billing ends when you delete your server.
GPUs process massive data sets faster with cores that work in parallel, making them ideal for demanding tasks like AI, deep learning and big data.
IONOS hosts your data and workloads in ISO 27001-certified data centers, independently audited to enterprise security standards.
Pay only for what you use, down to the minute, with no minimum term. Billing ends when you delete your server.
Accelerate your AI and compute workloads
Choose from powerful NVIDIA® and Intel® GPUs, paired with dedicated hardware, NVMe storage, and high-capacity RAM for the most demanding applications.
Global infrastructure, local presence
Explore more server options
Industry-leading partnerships
Engineered for AI, data, and performance
High-performance computing
Process large datasets at speed to support complex calculations, simulations, and time-critical decision-making.
Best for
- Scientific simulations
- Financial risk modeling
- Real-time forecasting
Deep learning
Use dedicated GPU power to train and run deep learning workloads faster and more efficiently, even with large, complex datasets.
Best for
- Image recognition models
- Natural language processing
- Speech recognition systems
Big data analytics
Analyze large datasets faster to uncover patterns, improve reporting, and surface actionable business insights.
Best for
- Large-scale data processing
- Business intelligence analytics
- Predictive analytics pipelines
AI training
Accelerate AI model training with parallel GPU processing built for demanding machine learning workloads.
Best for
- Training open-source LLMs
- Image recognition model training
- Building custom AI solutions
Model inference and AI applications
Deploy AI models with low latency and reliable performance for real-time production applications.
Best for
- Chatbot responses
- Image generation
- Recommendation systems
3D rendering and visual computing
Speed up graphics-intensive workflows for rendering, simulations, and visual content production.
Best for
- 3D rendering
- Video effects processing
- Architectural visualization
Built to scale. Built to last.
> 38,000
6
> 99.995%
25+
GPU servers — FAQs
Can a dedicated GPU server be used for machine learning?
Yes, the NVIDIA® T4 GPU used in our servers accelerates a range of workloads including deep learning training and inference.
Can I use these servers for VFX or 3D design rendering?
Yes, the graphics card used is based on the new NVIDIA Turing™ architecture. It includes Turing Tensor multiprecision cores as well as new RT cores. This makes a GPU server the ideal solution for difficult rendering tasks.
Is a server with a graphics card good for for gaming?
GPU servers are a good option for graphic-intensive games, ensuring low latency and a smooth user experience.
What exactly does the AI Assistant do?
It acts as your on-demand server assistant. You can use it to perform basic tasks like restarting your server or reinstalling the OS, as well as advanced tasks like configuring firewalls, and troubleshooting performance issues.
