GPUs can increase the speed of Deep learning training by hundreds of times, and it can allow you to employ more iterations, conduct more experimentation, and generally perform much deeper exploration.
Modern applications for scientific and research computing, big data analytics, machine learning, and artificial intelligence operate on huge and constantly growing data sets. For this reason, the computing power of traditional systems with an infrastructure around the CPU is unable to provide a sufficiently high level of workload for loading, sorting, processing and other data operations.
A server with a GPU can accelerate the processing of big data by hundreds of times, while the investment in such a solution is incomparably less than what would be required to similarly increase the capacity of a traditional CPU server.
The GPU server allows you to parallelize heavy workloads across multiple threads using thousands of cores in each GPU, and dramatically accelerate the entire process of working with data from start to finish.
Reducing the time for training neural networks, training models, analysis and other data operations gives freedom for more iterations in experiments, and as a result, for conducting more accurate and in-depth research in the same period of time. The GPU Server keeps your venture competitive, while saving on infrastructure costs and electricity bills.
Here is just a short list of the branches of science and business where the GPU server provides a huge increase in processing power for heavy computing:
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GPU accelerated servers are already widely employed in compute-heavy industries such as in AI model training, deep learning, machine learning, heavy-load scientific data crunching, and more:
The newer the GPU generation NVIDIA RTX A6000 / A5500 / A5000 / A4000, the better: each new generation of GPU architecture brings improvements to the computing cores, adding functions to tensor cores and ray tracing cores, all of which ultimately significantly increase the system power density per GPU core. So, in some network training tasks, the advantages of the RTX30 GPU over the RTX20 allow you to double your calculation output!
The older the graphics card in each generation (RTX3090 -> RTX3080-> RTX3070), the better: not only does the older model have a larger number of computing cores, important here, but also it has a larger amount of video memory, which significantly affects the speed of calculation.
If the project budget allows for the use of several GPU servers, you can economize on network modeling by inputting smaller networks or reduced images with the use of a lower budget GPU system, and later the final calculations and full scaling of the model to the required parameters can be carried out on a powerful GPU server.
A GPU server for Data Science applications will be reliant on choosing the appropriate multi-core CPU, sufficient RAM and a fast SSD: ensure that other system components do not become a bottleneck for your workloads.
HOSTKEY specialists will be happy to help you create a unique individual GPU server taking into account your tasks and goals. We will advise you on the choice of hardware, software and assemble the server according to your requirements as soon as possible.
Regardless of the configuration, we guarantee the placement of your chosen GPU server in a reliable TIER III data center, with a stable high-speed Internet connection, flexible payment system and 24/7 technical support.
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.
Netherlands
NL
Russia
RU
The selected collocation region is applied for all components below.
All
Netherlands
NL
Russia
RU
If you still cannot find what you need, HOSTKEY is ready to work with you to build an entirely unique custom setup especially for you. We can procure the hardware, software, and build the server to your specifications on short order. Our long-standing relationships with several global manufacturers and providers mean that we can get this done at a competitive price and pass that savings on to you.
All our data centers are fully compliant with TIER III standards
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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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