Rent GPU Server: The best providers for AI hosting compared

Through the combination of high computational power with specialised software, GPU servers are capable of solving tasks that would take conventional computers weeks or months in just a few hours or even minutes. This advantage, which the GPU server has compared to other systems, makes it particularly interesting for users who want to implement the following projects:

• Machine Learning and AI Hosting: Most deep learning algorithms and large language models (LLMs) benefit from the high performance of graphics processors, as they significantly accelerate the training of neural networks
• Graphic design and video editing: Graphic rendering, complex video effects or encoding require high computing power. GPU servers can provide this, making them attractive for professionals in this field to rent an appropriate system.
• Video hosting: GPU servers are used by video hosting platforms to offer web hosting and additional features such as video editing or live streaming for extensive data volumes.
• Simulation and gaming: In game development or real-time simulations, GPU servers are indispensable.
• Scientific and medical applications: In research as well as in medicine, GPUs are utilised to perform complex simulations, calculations or data analyses. GPU servers are also used in imaging procedures in medical diagnostics.
• Crypto-mining: Crypto-mining requires high computational power to perform the complex mathematical calculations necessary for creating new units of currency such as Bitcoin, Ethereum or other cryptocurrencies.

The best GPU server providers compared

Here we present the best GPU server providers for applications such as AI hosting:

GPU Servers at IONOS

IONOS, formerly known as 1&1, is one of the leading web hosting providers in Europe and offers a wide range of web hosting services and cloud solutions. The company places great emphasis on security, performance, and customer support, which has earned it a solid reputation in the industry. With its user-friendly interface and extensive service offerings, IONOS is a popular choice for both beginners and professional developers.

All GPU server offers at: https://www.ionos.co.uk/servers/gpu-server

GPU Servers at IP-Projects

IP-Projects is a German hosting provider with over 18 years of experience and a focus on customised solutions. In addition to traditional web hosting and server offerings, high-performance GPU servers are available, specifically designed for compute-intensive tasks such as AI, machine learning, or graphics calculations. The hardware is based on modern NVIDIA graphics technology combined with fast AMD processors, ample RAM, and NVMe storage. All servers are located in certified German data centres with high availability and direct connectivity. Customers also benefit from personal support without call centres and transparent pricing.

All GPU server offers at: https://ip-projects.de/en/dedicated-server/performance/gpu

GPU Servers at Contabo

Contabo is an internationally active provider of web hosting and cloud services, distinguished by cost-effective, high-performance solutions for private individuals and business customers. The company offers a wide range of services, including shared hosting, VPS (Virtual Private Server), dedicated servers, and cloud infrastructure solutions tailored to the specific needs and requirements of various clients. Contabo places a strong emphasis on customer satisfaction and technical excellence, as demonstrated by its user-friendly platforms, extensive support options, and commitment to high availability and security of its services.

All GPU server offers at: https://contabo.com/gpu-cloud/

GPU Servers at Hetzner

Hetzner Online is a German provider of web hosting services and data centre infrastructure, established in 1997 and based in Gunzenhausen. The company is known for its powerful server solutions, suitable for both private and business applications. The provider places great emphasis on sustainability and operates its data centres with renewable energy, contributing to an environmentally friendly IT infrastructure. Hetzner Online offers an excellent infrastructure in state-of-the-art data centre parks spread across several countries, featuring multi-redundant network connections that enable fast website access and a variety of hosting solutions such as web space, cloud, dedicated root servers, and managed servers.

All GPU server offers at: https://www.hetzner.com/dedicated-rootserver/matrix-gpu/

Advertisement

AI Hosting with GPU Servers

AI hosting with GPU servers provides a specialised infrastructure optimised specifically for applications in artificial intelligence and machine learning. Unlike traditional CPU servers, GPUs enable massively parallel data processing, which is particularly advantageous during neural network training processes and inference tasks. Providers of such hosting solutions combine powerful hardware with scalable cloud services and support common frameworks to make the development and operation of AI models more efficient.

Advantages of AI hosting with GPU servers:

• High computing power: GPUs are designed for parallel processing and offer multiple times the performance of traditional CPUs for deep learning tasks.
• Accelerated training: Complex models such as Transformers or CNNs can be trained significantly faster.
• Support for popular AI frameworks: Compatibility with tools like TensorFlow, PyTorch, Keras, or JAX.
• Scalability: Flexible resource provisioning according to demand – from individual GPU cores to clusters with several high-end GPUs.
• Virtualised GPU servers or dedicated GPU servers: Choice between fully dedicated resources or shared environments with optimised cost structures.
• Remote access and management: Access via SSH or through user-friendly web interfaces with monitoring and management functions.
• Optimised network connectivity: Low latency and high bandwidth for data transfer between storage, servers, and clients.

AI hosting with GPU servers is particularly suitable for start-ups, research institutions, and companies in the data science sector, providing a powerful foundation to efficiently implement and scale AI projects.

What distinguishes a web hosting provider for GPU servers?

Web hosting providers that offer GPU server rentals face particular challenges.

Compared to traditional hosting environments, servers based on graphics processors require more powerful hardware. This must be capable of delivering high computational performance. Additionally, sufficient storage capacity and appropriate network bandwidth are necessary.

Furthermore, GPUs consume significantly more power than CPU servers. This not only results in higher costs but also generates more heat, meaning web hosting providers must ensure adequate cooling.

To ensure stable and reliable operation of the GPU hosting environment, specialised software installed and maintained by the provider is required.

Additionally, maintaining a GPU server compared to conventional systems demands specialised expertise and the knowledge of skilled professionals.

These specific requirements increase the operational costs of GPU servers. As a result, renting a GPU environment is considerably more expensive than traditional web hosting packages or dedicated servers.

Alternatives to GPU Servers

Users who require high computing power but do not want to rent a full server have several alternatives available. Prospective customers should carefully weigh the options and consider comparing the offers.

Firstly, it is possible to rent a GPU instance in the cloud from a cloud computing service. These instances are scalable and offer greater flexibility compared to a dedicated server. Customers only rent the resources they actually need, which can significantly reduce costs.

Some providers offer GPU support for their virtual private servers (VPS). This allows customers to utilise a virtual server with GPU resources without having to rent a dedicated server.

Users who need even more computing power than a single server can provide may consider using a cluster of multiple servers. Such a solution is often only available through a customised agreement with the hosting provider. However, it is worthwhile to compare options, especially since high computing power can incur high costs.

Our article is based on personal experience and research, as well as information from external sources.

Sources & further links on the topic:
https://www.nvidia.com/de-de/data-center/data-center-gpus/ (Official website of NVIDIA on GPUs in data centres)

Image credit:
Dave Morgan on pexels.com

Last updated:
08.09.25 Provider updated