GPU Servers

Servers with graphics processing units for intensive tasks. With their computing power, GPU servers are designed for accelerated parallel task processing

Featured servers

Intel  2x Xeon E5-2667v3
16c/32t - 3.2GHz /3.2GHz
64GB DDR4 ECC 2400 MHz
SoftRAID 2x480GB SSD
4 x NVIDIA Geforce GTX 1080
200 Mbps bandwidth
vRack: 100 Mbps
S$ 1 764.99
 (ex. GST)/month

NVIDIA GeForce GTX 1080

This latest generation graphics card from NVIDIA is based on Pascal architecture. It can be used to accelerate 3D graphics software, or it can act as a coprocessor due to its CUDA cores, designed for single-precision computing. The 4 GPU configurations are specially designed for cloud gaming, with hosted virtual machines connected to a dedicated “pass-through” graphics card.

Geforce GTX 1080:
  • 8 GB DDR5
  • 2560 CUDA cores
  • Max bandwidth of 320 GB/s
  • Nvidia GPU Boost 3.0 Technology
Compatible with: Linux, CUDA/OpenCL, KVM.
The card’s 1664 CUDA cores process parallel workloads for accelerated video encoding.
3D rendering
3D rendering
Harness the GPU’s computing power to generate your animations/images.
Leverage the computing power to develop and test your CUDA/OpenCL applications.

Why the GPU?

A GPU (Graphical Process Unit), has a massively parallel architecture compared to a conventional CPU. This design, originally intended to handle computation only for computer graphics (OpenGL/Direct3D), was adapted with programming languages such as CUDA or OpenCL, to perform computation in applications traditionally handled by the CPU.
Due to its ability to speed up processing, GPU architecture is particularly suited to resource-intensive applications that require a large number of parallel tasks (image processing, bioinformatics, big data...).

Included with your server

No setup fees
  • 500 GB of storage space
  • 90 operating systems available for installation via the Control Panel
    See the list of compatible operating systems
  • GTX 1070 and 1080 drivers are not supported by Microsoft Windows Server 2012. You can install it from the Control Panel.
  • Control Panel
  • API
  • Root access to the server
  • Access via the KVM/IP graphic console
Support and SLA