Delivery time from 15 to 90 minutes. GPU passthrough allows to directly present an internal PCI GPU to virtual KVM machines. The GPU card is dedicated to the VM and cannot be used by other clients. GPU performance in virtual machines matches GPU performance in dedicated servers. Since we use large multi-card nodes for vGPU, virtual machines come at a cheaper price.
Looking for a non-standard OS? We have a wide selection of ISO images in our control panel. Or you can use your own image and install the OS via IPMI. All our servers are unmanaged. Administration services can be provided for a fee. Please contact us for any questions.
The selected collocation region is applied for all components below.
All
Netherlands
NL
Finland
FI
Russia
RU
First, select a server group from the list below. Do you need something specific? Get in touch! We will procure hardware specifically for your project.
NL RU 
Powerful GPU servers based on professional RTX A4000 / A5000 / A6000 and Tesla / Quadro cards with pre-installed AI frameworks (TensorFlow, PyTorch, Caffe, Caffe2, etc.)
NL
USA
RU
Servers based on a single latest generation Intel or AMD processor. CPUs from Xeon E, Xeon E3, Xeon E5, Xeon W series with 4-8 cores are available to order. Full remote server management via IPMI / iDRAC.
NL USA RU 
High-performance servers based on a dual latest generation Intel or AMD processor. CPUs from Silver, Gold, EPYC series with 12-48 cores are available to order. Full remote server management via IPMI / iDDRAC.
NL 
Budget friendly and powerful servers with AMD Ryzen and Intel Core i9 processors with high core frequencies for high-load tasks.
Wide range of pre-configured servers with instant delivery and sale
All our data centers are fully compliant with TIER III standards
TIER III Data Centers
DDoS protection
High-bandwidth Internet connectivity
Full control
Eco-friendly
A replacement server is always available
Quick replacement of components
Round-the-clock technical support
Traffic
Free DDoS protection
Customer support 24/7
Do you need assistance configuring your hardware?
GPU servers for data science
e-Commerce hosting
Finance and FinTech
Hosting for gambling projects in the Netherlands
Rendering, 3D Design and visualization
If you don't find the right configuration, you can always contact our Sales Department. Our managers will help you with your requirements. We are very flexible.
If you don't find the right configuration, you can always contact our Sales Department. Our managers will help you with your requirements. We are very flexible.
You can choose a suitable Data Center in the Netherlands and the USA
We use an individual approach with each client, which is reflected not only in our technological solutions but also in the appropriate Data Center. We offer Data Centers TIER III categories, which allows us to offer the most flexible solutions for the needs of every client.
For business-critical applications, availability is paramount. In this case, you need a certified Tier III category data center at a minimum. For minor tasks, TIER II or even TIER I Data Center will suffice.
A complete list of the Data Centers and their characteristics can be found here.
If availability is crucial to you, we recommend certified Data Centers, i.e. EuNetworks.
If you would like to test the Internet speed to resources hosted on our servers, you can make use of Speedtest or Looking Glass without having to wait for the deployment of the test server.
You can request a test server if you would like to:
test the compatibility of the software and the chosen configuration of the dedicated server or VPS with GPU cards;
make sure that the server configuration chosen is capable of all the tasks at hand and that server upgrade (RAM, HDD, etc.) won’t be necessary in the near future;
evaluate the performance of HOSTKEY’s servers in practice.
When providing a test server, HOSTKEY uses an individual approach to every client. On average, the trial period is 3 days.
If you would like to get further information regarding getting a test server and/or terms and conditions of the service, please contact our managers.
After the trial period is over, you can pay for the server and continue using it. If we haven’t received your payment within 3 days after the end of the trial period, the server will be terminated and all data deleted.
Note: HOSTKEY operates under the current legislation of the Russian Federation, the Netherlands and the United States of America.
Therefore, we ask you to use our servers without breaking the laws of the corresponding country.
Requirements for the use of servers in the corresponding country.
All our services are paid for in advance. We accept payments via credit card, PayPal, P2P cryptocurrency payments from any wallet, application or exchange through BitPay. We also accept WebMoney, Alipay and wire transfers. Read more about our payment terms and methods. Read more about payment terms and methods.
We are very confident in our products and services. We provide fast, reliable and comprehensive service and believe that you will be completely satisfied.
You can ask for a test server for 3-4 days for free.
Refund is only possible in case of an accident from our side with your server being offline for 24 hours or more due to that.
Read more about refund procedure.
Customers whose servers come with unlimited bandwidth are committed to a fair usage policy.
That means that servers on the 1 Gbps port cannot use more than 70% of the allocated bandwidth for more than 3 hours a day.
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Most popular machine deep learning tasks use NVIDIA GPUs, so, business owners tend to think about different moments before making a decision: What is the right solution for such a purpose? To get the answer, it is worth understanding the pricing and performance of different NVIDIA GPUs. Thus, to deal with large-scale projects requiring high computing power, reliable providers offer customers a service of comfortable renting servers for machine deep learning with appropriate software.
As you know, the procedure of model training and deep learning is more expensive computationally, and it takes a much larger amount of power if compared to an already trained model. If the task is not expected to be under heavy load, then it is possible to operate not the most powerful machine deep learning server to save the budget. The most productive artificial intelligence servers for machine learning are more expensive than the average ones.
For an ordinary working version of the system (rack servers), you will be able to get by with part of the NVIDIA GPU resources, or one card can be used to run several samples. However, this solution is not suitable for training because of the memory structure, and each model uses a whole number of graphics accelerators to be trained.
A solution is considered as well-trained when the expected accuracy is achieved or when it is no longer improved by further training. Sometimes "bottlenecks" occur during the process. Auxiliary operations such as preprocessing and loading of images can consume a lot of CPU time - this means that the server configuration has not been balanced appropriately for that specific activity.
This is equally true for both dedicated and virtual servers solutions. This may be because one CPU is actually serving multiple instances in virtual models. A dedicated server has a complete CPU at its disposal but it may still be underpowered. In simple terms, in many cases, the capacity of the CPU matters, so that it can handle the initial processing of data.
Hostkey presents reliable machine deep learning hosting. In order to get your ideal equipment and software, you need to contact company experts, and they will help you with the selection. Our qualified technicians provide stable technical support by phone and mailing 24/7. They will always provide information about the application of software, frameworks, networks, different solutions. All maintenance of the rented computer and systems is done by Hostkey staff. We also offer a free trial period and regular pleasant bonuses and discounts. We can help you to find a perfect solution! So, hurry up to visit our website and order really perfect services!
The Deep Learning Server is a dedicated machine server that supports resource-intensive AI and deep learning workloads. It has high performance compared to traditional workstations through the use of multiple graphics processing units (GPUs), for example, NVIDIA.
The demand for the use of artificial intelligence has skyrocketed, leading to the development of products that can handle massive amounts of data and complex deep learning workflows. Security concerns have led to the growth of the market for specialized deep learning solutions that can handle resource-intensive AI workloads.
The AI server is designed to support a network of real-time machine learning and inference systems that place high demands on the ratio of efficiency and power consumption despite the use of powerful NVIDIA GPUs. The server is great for deep learning with image and video analytics, as well as deep immersive methods, delivering unrivaled performance in a reasonably compact package of the solution. The AI Server supports GPUs (such as NVIDIA) and its framework can be flexibly configured for any scenario and inference requirement. The server can use one or more processors for making network functioning more stable.
Key features of the server are:
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