GPU Servers

Equipped with graphics processors, these servers are configured for intensive use. Thanks to their computing power, GPU servers are designed to speed up parallel task processing.

Servers in the spotlight

Intel  2x Xeon E5-2620v3
12c/24t - 2.4 GHz/3.2 GHz
64GB DDR4 ECC 1866 MHz
SoftRaid  2x480GB   ssd
4 x NVIDIA Geforce GTX 1070
500 Mbps  bandwidth
vRack: not included
Availability
North America
/Beauharnois
Europe
/Roubaix
/Gravelines
/Strasbourg
/Warsaw
Asia-Pacific
/Australia | /Singapore
$924.99
/month
Intel  2x Xeon E5-2667v3
16c/32t - 3.2 GHz/3.6 GHz
64GB DDR4 ECC 2400 MHz
SoftRaid  2x480GB   ssd
4 x NVIDIA Geforce GTX 1080
500 Mbps  bandwidth
vRack: not included
Availability
North America
/Beauharnois
Europe
/Roubaix
/Gravelines
/Strasbourg
/Warsaw
Asia-Pacific
/Australia | /Singapore
$1 599.99
/month
Intel  2x Xeon E5-2650v3
20c/40t - 2.3 GHz/3.00 GHz
256GB DDR3 ECC 1600 MHz
HardRaid  4x800GB   ssd
2 x NVIDIA Tesla M60
500 Mbps  bandwidth
vRack: 10 Gbps
Availability
North America
/Beauharnois
Europe
/Roubaix
/Gravelines
/Strasbourg
/Warsaw
Asia-Pacific
/Australia | /Singapore
$2 229.99
/month

NVIDIA GeForce GTX 1070 & GTX 1080

These two latest-generation Nvidia graphics cards are based on the “Pascal” architecture. They can be either used for 3D graphics acceleration or as a co-processor to perform calculations with simple precision, thanks to their CUDA cores. The 4 GPU configurations are specifically designed for use in "Cloud gaming" by hosting virtual machines linked to a dedicated "passthrough" graphics card .

Geforce GTX 1070 :
  • 6GB DDR5
  • 1920 CUDA cores
  • Max bandwidth of 256Go/s
  • Nvidia GPU Boost 3.0 Technology
Geforce GTX 1080:
  • 8GB DDR5
  • 2560 CUDA cores
  • Max bandwidth of 320Go/s
  • Nvidia GPU Boost 3.0 Technology
Compatible with: Linux, CUDA/OpenCL, KVM.
video
Video
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.
Development
Development
Leverage the computing power to develop and test your CUDA/OpenCL applications.

NVIDIA Tesla M60

The M60 is part of the NVIDIA server range for professionals. It was specifically designed for virtualization and uses NVIDIA GRID technology to allow up to 32 concurrent users to share the graphics card resources!
The Nvidia M60 card enables the deployment of virtualised infrastructures, boasting graphics acceleration to meet the needs of advanced users (designers/graphic designers/ engineers). It provides the flexibility of virtualised desktops (VDI), while still offering the graphics power required to run 3D applications (DirectX/OpenGL).
  • Dual GPU design (Two Maxwell GPUs)
  • 4096 CUDA cores
  • DDR5 16 GB
  • 320 Gbps max bandwidth

Compatible: VMWare ESXi, Citrix Xenserver, KVM.
VDI
VDI
Combine Nvidia technology with market leading hypervisors to build high-performance VDI infrastructures.
Cloud 3D
Cloud 3D
Provide your users (Architects, Designers) with remote workstations for their 3D applications.
Gaming
Cloud Gaming
Outsource GPU to the Cloud in order to host demanding applications such as online games.

NVIDIA Tesla K80

One of the fastest GPU accelerators in the world: optimised for high-performance computing and machine learning. It is between 5 and 10 times faster than classic CPU configurations.
  • Dual GPU design (Two Kepler GK210 GPUs per card)
  • 4992 CUDA cores
  • DDR5 24 GB
  • 480 Gbps bandwidth

Linux, Windows Server, CUDA/OpenCL.
Intensive computing
High-performance computing
Unleash the card’s CUDA/OpenCL capabilities to accelerate processing of your HPC applications.
Machine learning
Machine learning (FR)
Take advantage of the computing power of the GPU to optimize machine learning techniques.
bioinformatics
Bioinformatics
Use the card’s 4992 GPU cores for the parallel processing of your bioinformatics data.

Why 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 CPU.
Due to its ability to speed up processing, GPU architecture is particularly suited to resource-intensive applications which require a large number of parallel tasks (image processing, bioinformatics, big data ... ).

Included with your server

No setup fees
Network
Backup
  • 500 GB of storage space
Software
  • 90 operating systems available for installation via the Control Panel
    See the list of compatible operating systems
  • Les drivers GTX 1070 et 1080 ne sont pas supportés sur Microsoft Windows Server 2012. Son installation reste disponible depuis le manager.
Administration
  • Control Panel
  • API
  • Root access to the server
  • Access via the KVM/IP graphic console
Support and SLA