GPU server rental and hosting in Europe

GPU server rental and hosting of client's own GPU hardware in European data centers. CloudKleyer designs the configuration for the tasks and requirements of the project, supplies and assembles hardware, configures and provides maintenance of AI infrastructure.

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GPU servers for AI, Machine Learning, HPC and other tasks

GPU servers are suitable for computing tasks that require massive parallel data processing and high performance graphics cards.

Task	GPU Server Application
AI and ML	Training fine-tuning and inference models, Natural Language Processing, LLM training
Computer Vision	Image and videos recognition and processing
HPC	Scientific simulations, engineering and other parallel computing
3D graphics and rendering	Rendering workflows, CAD applications, visualization and virtual workstations
Big Data Analytics	GPU-accelerated processing of large data sets
Cybersecurity	Resource-intensive data processing and analysis using specialized software

Renting a GPU Server or Hosting Your Own Hardware

CloudKleyer offers two main options for deploying GPU infrastructure: hardware rental with project-specific configuration selection and assembly or hosting GPU servers already owned by the client.

	GPU server rental	Hosting your own GPU server
Hardware	Provided by CloudKleyer	Belongs to the client’s enterprise
Configuration	Selected according to the project requirements or technical specifications	Client’s current configuration
Build and launch	Performed by CloudKleyer engineers	Hosting and connection in the data center
Power supply	According to the configuration	Up to 60 kW per rack
Network	Ports up to 10 Gbps	Ports up to 10 Gbps
Maintenance	Managed or Unmanaged	Remote & Smart Hands and technical support

GPU Server Rental and Hosting Models

GPU server rental
Rent-to-Own
Purchase and hosting
Hosting client's GPU hardware

Formats of GPU infrastructure deployment

Dedicated GPU server hosting / Bare Metal GPU Server: physical GPU server with dedicated computational resources for one client.
Cloud GPU: virtualized infrastructure with GPU resources.
Hybrid GPU Infrastructure: combination of dedicated GPU servers with public cloud resources.

Managed and Unmanaged management options are available for dedicated GPU infrastructure.

NVIDIA and AMD GPU Server Configurations

CloudKleyer provides servers with modern NVIDIA and AMD GPUs. Custom configurations and multi-GPU systems are available. Specific hardware configuration depends on the task, required performance, component availability, and budget requirements.

Component	Available options
CPU	Intel Xeon, AMD EPYC
GPU NVIDIA	L4, L40S, H100, H200 and other models
GPU AMD	AMD Instinct MI300X and other models
RAM	DDR4 / DDR5, from 32 GB to 1 TB and larger
Storage	HDD / SSD / NVMe, from 512 GB
Network	From 100 Mbps to 10 Gbps
OS	Linux, Windows

Benefits of Renting and Hosting GPU Servers from CloudKleyer

Configuration for a specific task

We select GPU, CPU, RAM, storage and network connection based on the workload and requirements of the AI project. When designing configurations, we consider the recommendations of NVIDIA and AMD specialists.

Build and launch

CloudKleyer engineers build, configure, and launch the GPU server. The client receives a turnkey AI infrastructure for deploying applications and workloads.

High density Infrastructure

For high-power GPU systems, redundant power of up to 60 kW per rack is available.

Technical support

CloudKleyer can offer technical support of server hardware and AI infrastructure or provide the client with independent server management.

High density GPU Server Hosting — Up to 60 kW per Rack

For modern multiprocessor GPU systems, CloudKleyer offers high density hosting in Tier 3 data centers with the option to increase power from standard 8 kW to 20, 30 or 60 kW per rack.

The solution is designed to host large-scale infrastructure for generative AI, machine learning, HPC and other computationally intensive tasks, including multiple GPU servers in one rack.

Network Connection of GPU Servers in Data Centers

GPU infrastructure offers various network connection options depending on the volume of the data sets being transferred and the project architecture.

unlimited internet up to 100 Mbps at no extra charge for appropriate configurations;
network ports up to 10 Gbps or more by agreement;
physical connection to DE-CIX networks;
direct connection to public clouds (optional).

Support via Messengers

To resolve technical issues, you can contact the CloudKleyer team via messengers and promptly discuss the issue with a specialist. Support is available in several languages, including English, German, Spanish, Ukrainian, Russian and Greek.

GPU server rental in Europe and other regions

CloudKleyer's key European locations allow AI infrastructure to be deployed closer to users, corporate systems, and cloud platforms.

Available data centers: Frankfurt am Main, Germany; Darmstadt, Germany; Heidelberg, Germany; Amsterdam, Netherlands; London, UK.

Data centers in North America and other regions, including New York and Moncton, are also available. Availability of specific GPU configurations, power, and network connectivity must be specified for the selected site.

Additional services for GPU infrastructure

Direct Connection to Public CloudsEstablishing dedicated connection to AWS, Microsoft Azure, Google Cloud, Oracle Cloud, IBM Cloud, and other cloud platforms via DE-CIX DirectCLOUD.

Remote & Smart HandsPhysical work with server equipment directly in the data center: connection, diagnostics, component replacement, and other operations that require the presence of an engineer.

Managed FirewallInstallation and maintenance of corporate firewalls. Fortinet/FortiGate, Sophos, F5 and Palo Alto solutions are available.

Infrastructure MigrationCloudKleyer helps migrate existing server infrastructure to a new site and perform the necessary work to connect and launch the hardware. We also provide physical migration services for corporate data centers.

Testimonials from our partners

Dr. Silke Klinge

IPE Institute for Policy Evaluation

5/5

The IPE Institute for Policy Evaluation has been a client of CloudKleyer Frankfurt GmbH since 2015. Since the beginning of our cooperation, we have been very satisfied with all the services we have used.

Ilya Vakhrushev

LLC Udeks, CIO

5/5

I am writing to recommend the services of CloudKleyer Frankfurt GmbH. Our company is using the services of CloudKleyer for the past two years, and we are completely satisfied. They do an excellent job, are punctual, supportive and the rates are always competitive as well.

The Technical Department Team

SIG GmbH

5/5

In 2015, quite by chance but, as the future showed, in a truly pivotal way, employees of our technical department first discovered the CloudKleyer website and then got acquainted with a very responsible Head of Customer Relations at the service provider.

Sergey Shilov

5/5

I have extensive, multi-year experience working with CloudKleyer. They helped us build and maintain a private, hybrid cloud, distributed infrastructure used for high-load, real-time production systems with stringent performance, reliability, and security requirements.

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Frequently Asked Questions (FAQ)

Do you have further questions?

Which GPUs are available for rent?

CloudKleyer provides servers with NVIDIA and AMD GPUs. Availability of specific models depends on the selected configuration and current hardware availability. Custom GPUs can be supplied to meet project requirements.

Is it possible to rent a server with multiple GPUs?

Yes, it is possible. CloudKleyer can select a multi-GPU configuration to suit your project’s requirements. The number and type of GPUs are determined based on workload, power consumption, and other infrastructure parameters.

Can I host my own GPU server?

Yes, you can. In addition to hardware rental, CloudKleyer also hosts client-owned GPU servers. High density configurations are available with power up to 60 kW per rack.

What's the difference between Cloud GPU and a dedicated GPU server?

Cloud GPU provides GPU resources in a virtualized cloud environment. With a GPU dedicated server, the hardware is dedicated to a single client, giving them full access to the resources of the installed hardware.

Is it possible to select a server specifically for AI or Machine Learning?

Yes, it’s possible. The configuration can be tailored to the specific workload requirements: model type, required GPU memory capacity, number of accelerators, CPU, RAM, storage, and network connectivity.

Is it possible to rent dedicated GPU server on a rent-to-own basis?

Yes, it is possible. Dedicated GPU servers are available on a rent-to-own basis for terms ranging from 2 to 5 years.

What capacity is available for GPU server deployment?

For high density infrastructure, CloudKleyer offers racks with redundant power of up to 60 kW. 20 and 30 kW options are also available.

What connection speed is available for the GPU server?

Network ports from 100 Mbitps to 10 Gbitps are available. The specific bandwidth is selected depending on the configuration and requirements of the project.

Is it possible to connect a GPU server directly to a public cloud?

Yes, it is possible. DE-CIX DirectCLOUD allows direct connections to AWS, Microsoft Azure, Google Cloud, Oracle Cloud, IBM Cloud, and other scalable cloud platforms offering AI services.

Does CloudKleyer provide GPU server management?

Yes. Managed and Unmanaged options are available. CloudKleyer also offers Remote & Smart Hands for physical hardware maintenance in the data center.

How to order GPU server from CloudKleyer

If you want to rent a turnkey GPU Server or AI infrastructure, just click "Request a call." A support specialist will contact you to discuss the terms and available additional options.

Request a Call

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