Rent GPU Servers: The Best Providers Compared
As digitalisation of work processes increases, so do the demands on the computing power of IT systems. Users who require particularly high computing power have the option to rent a GPU server. Compared to traditional web servers, which mainly focus on content delivery, GPU servers are capable of implementing complex web projects with remarkably high computing power. This provides the foundation for innovative applications in areas such as artificial intelligence, scientific research projects, or crypto mining.
What is a GPU Server?
The abbreviation GPU stands for Graphics Processing Units. A GPU server is a server equipped with powerful graphics processors. With this setup, it is capable of processing computationally intensive tasks such as
- 3D rendering,
- Video editing,
- Machine learning, or
- artificial intelligence.
The GPU server achieves increased computing power by using a graphics processor (GPU) instead of a conventional central processor (CPU). Normally, GPUs are used as components of computer graphics cards. However, due to their ability to perform a vast number of calculations simultaneously, these small chips are now also used as processors for entire computer systems. Particularly, complex scientific simulations or artificial intelligences would not be feasible without these powerful graphics processors.
CPUs achieve better performance through parallel processing of thousands of calculations at the same time. In essence, the GPU server operates like a small factory with over 1,000 workers handling tasks simultaneously. In comparison, a CPU server is akin to an office with a single worker who must complete tasks sequentially.
For this parallel processing to function smoothly, the GPU server requires special software capable of coordinating individual tasks. This necessitates the programming of specific scripting languages and libraries.
- CUDA (Compute Unified Device Architecture): CUDA is a platform and programming language developed by NVIDIA, enabling developers to access and efficiently utilise NVIDIA GPUs for parallel computing. Through CUDA, software designers can create applications that fully harness the computing power of GPUs.
- OpenCL (Open Computing Language): OpenCL is an open industry standard supported by various GPU manufacturers. This standard allows developers to create cross-platform applications that can run on a variety of GPUs, CPUs, and other accelerators. OpenCL facilitates programming of parallel tasks in different programming languages.
- cuDNN (CUDA Deep Neural Network): cuDNN is a specialised library developed by NVIDIA based on CUDA. It is designed to enhance the speed and efficiency of training neural networks for machine learning and artificial intelligence. This library provides optimizations for common deep learning tasks, significantly accelerating them.
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Start tenderBy combining high computing power with specialised software, GPU servers are capable of completing tasks that would take conventional computers weeks or months in just a few hours or even minutes. This advantage that GPU servers have over other systems primarily makes them appealing to users who want to implement the following projects:
- Graphic design and video editing: Graphic rendering, complex video effects, or encoding require high computing power. GPU servers can provide this, making it interesting for professionals in this field to rent a suitable system.
- Video hosting: GPU servers are used by video hosting platforms to provide web hosting and additional features such as video editing or live streaming for extensive data traffic.
- Simulation and gaming: GPU servers are essential in game development or real-time simulations.
- Machine learning and AI: Most deep learning algorithms benefit from the high performance of graphics processors as they significantly accelerate the training of neural networks.
- Scientific and medical applications: GPUs are used in research and medicine to perform complex simulations, calculations, or data analysis. GPU servers are also used in imaging techniques in medical diagnostics.
- Crypto mining: Crypto mining requires high computing power to perform the complex mathematical calculations necessary for creating new units of currency for Bitcoin, Ethereum, or other cryptocurrencies.
The best GPU Server Providers Compared
Here we present the best GPU server providers:
GPU Server Providers Compared
available GPUs | billing interval | view offers | |
---|---|---|---|
IONOS |
NVIDIA Tesla T4 |
per minute | here |
OVH | NVIDIA H100 NVIDIA L40s NVIDIA L4 NVIDIA V100 NVIDIA V100s |
per hour | here |
menkiSys |
NVIDIA RTX A4070 |
monthly | here |
hosttech | NVIDIA RTX 4000 Ada NVIDIA RTX 4090 NVIDIA RTX A4500 |
daily | here |
Centron | NVIDIA RTX A4000 NVIDIA Quadro RTX 6000 NVIDIA A100 |
monthly | here |
LeaseWeb |
NVIDIA Tesla T4 |
monthly | here |
Contabo |
NVIDIA H100 |
monthly | |
Hetzner Online |
NVIDIA RTX 4000 SFF Ada |
monthly |
GPU Servers at IONOS
IONOS, formerly known as 1&1, is one of the leading web hosting providers in Europe, offering a wide range of web hosting services and cloud solutions. The company places great emphasis on security, performance, and customer support, earning itself 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.
Find all GPU server offers at: https://www.ionos.de/server/gpu-server
GPU Servers at OVH
OVH is a global web hosting provider with a wide range of infrastructure solutions, including dedicated servers, public and private cloud, and web hosting. The company is known for its innovative data centres that utilise eco-friendly cooling techniques to minimise their environmental footprint. With its own fibre optic network and continuous service improvements, OVH provides a reliable, scalable, and competitive platform for both business customers and individual users.
Find all GPU server offers at: https://www.ovhcloud.com/de/lp/gpu-portfolio/
GPU Servers at menkiSys Networks
menkiSys Networks e.U. is a provider of server and hosting services based in Austria. The company offers a variety of products, including Dedicated Servers, Cloud Servers, NVIDIA GPU Servers, and web hosting packages. They operate a state-of-the-art data centre in Marchtrenk, Upper Austria, which includes high security standards such as 24/7 video surveillance, air conditioning, and emergency power supply. menkiSys Networks is known for its scalability and adaptability, with a strong presence in the international market.
Find all GPU server offers at: https://menkisys.at/store/nvidia-gpu-server
GPU Servers at hosttech GmbH
The hosttech GmbH is a leading internet service provider in the DACH region (Germany, Austria, Switzerland) with headquarters in Richterswil, Switzerland. Since its founding in 2004, it has been offering comprehensive hosting solutions, including web hosting, domain registration, server solutions, and other internet services for individuals and businesses. With its own data centres, such as the underground Datacenter DATAROCK in Nottwil, hosttech ensures the highest security standards and availability. The company serves over 50,000 customers and places great emphasis on high-quality infrastructure and top-notch customer service.
All GPU Server offers at: https://www.hosttech.de/gpu-server/
GPU Servers at Centron
Centron is a German hosting and IT service provider known for its high-quality server products, personalised customer support, and good value for money. With a strong focus on data protection and security, Centron complies with strict German data protection laws, which is particularly important for business customers. The combination of technical expertise and customer-centric service makes Centron a reliable choice for businesses and individuals seeking hosting and IT solutions.
All GPU Server offers at: https://www.centron.de/cloud-gpu/
GPU Servers at LeaseWeb
LeaseWeb is an international provider of cloud infrastructure solutions, offering an extensive portfolio of products such as Dedicated Servers, Cloud Hosting, and CDN. With a global network of data centres, LeaseWeb provides high-performance and reliable infrastructure for businesses of all sizes. By combining scalable solutions, technical expertise, and a strong focus on customer satisfaction, LeaseWeb has established itself as a trusted partner in the IT infrastructure sector.
All GPU Server offers at: https://shop.leaseweb.com/de/products-services/dedicated-servers/gpu-server
GPU Servers at Contabo
Contabo is an internationally active provider of web hosting and cloud services, known for its cost-effective, high-performance solutions for 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 different customers. Contabo places a strong emphasis on customer satisfaction and technical excellence, highlighted 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/de/gpu-cloud/
GPU Servers at Hetzner
Hetzner Online is a German provider of web hosting services and data centre infrastructures, established since 1997 and based in Gunzenhausen. The company is renowned for its powerful server solutions suitable for both private and business applications. The provider places a strong emphasis on sustainability, operating its data centres with renewable energy, contributing to an eco-friendly IT infrastructure. Hetzner Online offers excellent infrastructure in state-of-the-art data centre parks spread across multiple countries, with multi-redundant network connections enabling fast website access and a variety of hosting solutions such as Webspace, Cloud, Dedicated Servers, and Managed Servers.
All GPU Server offers at: https://www.hetzner.com/de/dedicated-rootserver/matrix-gpu/
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What distinguishes a web host for GPU servers?
Web hosts that offer GPU server rentals face special challenges.
Compared to traditional hosting environments, servers based on graphics processors require more powerful hardware capable of providing high computing power. Additionally, sufficient storage capacity and appropriate network bandwidth are necessary.
Furthermore, GPUs require significantly more power than CPU servers. This not only leads to higher costs but also results in higher heat generation with GPU servers, requiring web hosts to ensure adequate cooling.
For the GPU hosting environment to function stably and reliably, it requires special software that the provider installs and maintains.
In addition, maintaining a GPU server requires specific expertise and the knowledge of competent professionals compared to traditional systems.
These specific requirements drive up the operating costs of GPU servers. Thus, renting a GPU environment is considerably more expensive compared to traditional web hosting packages or Dedicated Servers.
Alternatives to GPU Servers
Users who require high computing power but do not want to rent a complete server have several alternatives to consider. Prospective users should carefully weigh the available 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 server. Customers only rent the resources they truly need, resulting in significant cost savings.
Some providers offer GPU support for their Virtual Private Servers (VPS). This allows customers to use a VPS with GPU resources without needing to rent a Dedicated Server.
Users who require even more computing power than a single server can provide may consider using a cluster of multiple servers. Such a solution often can only be rented based on an individual agreement with the hosting provider. However, it is worth comparing, especially because high computing power incurs high costs.
Our article is based on our own experiences 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/ (NVIDIA's official website on GPUs in data centres)
Image credits:
Dave Morgan on pexels.com
Update:
20.11.24 Provider updated