GPU servers

HOSTKEY is now offering GPU dedicated servers that are capable of processing any task at hand.

mining, virtualization, deep learning, transcoding, rendering, facial recognition

GPU servers boast an exceptional performance due to a parallel architecture that allows to process multiple tasks simultaneously.

GPU-accelerated computing transfers compute-intensive parts of the application to the GPU, allowing the CPU to run the remainder of the code.

HOSTKEY offers GPU servers in Russia, USA and the Netherlands.

NVIDIA GTX1080 and GTX1080Ti GPU Servers

GPU servers with popular GTX1080 video cards are designed for a wide range of tasks that do not require parallel computing calculations. GTX1080 server is a perfect solution for neural networks, transcoding, streaming, and other computing tasks.

The price of the server includes 10TB of traffic via 1Gbps port. You can specify the required OS in the commentary to the order.

DC	GPU	CPU	RAM	HDD	IPMI	WEEKLY	MONTHLY
	x		GB	Gb SSD			€ Buy

There is a range of processors, memory and hard disks.

On offer are dedicated servers or virtualised GPU servers (vGPU) with guaranteed resources, at the provider's discretion.

NVIDIA GRID K2 GPU Server

GPU servers with popular graphics accelerator NVIDIA GRID K2 are intended for implementation of virtual desktops with high 3D performance, GPU virtualization and game streaming.
NVIDIA GRID is a highly advanced technology for sharing virtual GPUs across multiple virtual desktop and application instances.

DC	GPU	CPU	RAM	HDD	IPMI	WEEKLY	MONTHLY
	x		GB	Gb SSD			€ Buy

There is a range of processors, memory and hard disks.

need more information?

Cloud GPU server is an excellent solution that allows you to benefit from graphical calculations without capital and time expenditures. By renting a server from HOSTKEY, you get:

Access to most advanced NVIDIA technologies without significant costs. Thousands of CUDA cores designed to accelerate information processing will be used for parallel computing.
Equipment that will never become obsolete. The default advantage of dedicated servers is also applicable to GPU servers — you do not need to maintain the fleet of outdated equipment. You can always get the latest solution and you do not have to concern yourself with getting rid of the old one.
Possibility to choose the most suitable country depending on the location of your users or other characteristics of the project: Russia, USA or the Netherlands.
Proven configurations — the experience of our customers allowed us to form configurations with the most successful combinations of CPU and GPU.
Servers that can be used as stand-alone servers or as part of a cluster.

You should consider getting a GPU server if your project is associated with the following:

Mining
Neural network and deep learning
Virtualization
3D virtualization
Rendering
Facial recognition
Telemedicine
Cloud gaming

GPU NVIDIA GeForce GTX 1080 and GTX 1080Ti are top of the range graphics cards that were initially designed for gaming but were also put to good use in other areas.

GeForce GTX 10 series are built using Pascal, world's most advanced GPU architecture.

These graphics cards provide an increase in performance up to 3 times compared with the previous generation. They accelerate 3D graphics processing or act as coprocessors, using CUDA cores for single-precision calculations.

The use of GPU allows to obtain and process a huge amount of source data in an extremely short space of time for efficient self-learning of neural networks or for creating a ready-made 3D model in a few minutes using photogrammetry. GTX 10 series also perform well in solving tasks related to rendering, mining, software development, streaming, transcoding, etc.

Main specifications	1080	1080Ti
GPU architecture	Pascal	Pascal
Frame buffer	8 GB GDDR5X	11 GB GDDR5X
Memory clock	10 Gbps	11 Gbps
Boost clock	1733 MHz	1582 MHz

NVIDIA GRID K2 are intended for virtual desktop technology with excellent opportunities for working with graphics in the cloud.

These graphics cards are implemented on the basis of several virtual graphics processors, which allowed to increase the density of users. GRID K2 is equipped with two processors with the ability to simultaneously connect 16 users. Virtual desktops are suitable for working with standard applications as well as more demanding projects — video and 3D graphics. Alternative scenarios for using GRID K2 servers are graphics virtualization and streaming.