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Cheap GPU Game Server Hosting

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Why GPU?

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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 ... ).


GPU Servers Hosting Plan Comparison

GPU Plan 1


  • CPU Cores : Intel 2x Xeon E5-2620v3 12c/24t - 2.4GHz /3.2GHz
  • RAM : 64GB DDR4 ECC
  • HDD : SoftRaid 2x480GB SSD
  • GPU : 4 x NVIDIA Geforce GTX 1070
  • Bandwidth : 500 Mbps

GPU Plan 2


  • CPU Cores : Intel 2x Xeon E5-2667v3 16c/32t - 3.2GHz /3.6GHz
  • RAM : 64GB DDR4 ECC
  • HDD : SoftRaid 2x480GB SSD
  • GPU : 4 x NVIDIA Geforce GTX 1080
  • Bandwidth : 500 Mbps

GPU Plan 3


  • CPU Cores : Intel 2x Xeon E5-2650v3 20c/40t - 2.3GHz /3GHz
  • RAM : 256GB DDR3 ECC
  • HDD : HardRaid 4x800GB SSD
  • GPU : 2 x NVIDIA Tesla M60
  • Bandwidth : 500 Mbps

NVIDIA GeForce GTX 1070 & GTX 1080


These two latest-generation Nvidia graphics cards are based on "Pascal" architecture. They can be 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.

Compatible with: Linux, CUDA/OpenCL, KVM.

Geforce GTX 1070:

  • 6GB DDR5
  • 1920 CUDA cores
  • Max bandwidth of 256 GB/s
  • Nvidia GPU Boost 3.0 Technology

Geforce GTX 1080:

  • 8GB DDR5
  • 2560 CUDA cores
  • Max bandwidth of 320 GB/s
  • Nvidia GPU Boost 3.0 Technology
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The card's 1664 CUDA cores process parallel workloads for accelerated video encoding.

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3D rendering

Harness the GPU's computing power to generate your animations/images.

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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 virtualized infrastructures, boasting graphics acceleration to meet the needs of advanced users (graphic designers/engineers). It provides the flexibility of virtualized 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.

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Combine Nvidia technology with market leading hypervisors to build high-performance VDI infrastructures.

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Cloud 3D

Provide your users (Architects, Designers) with remote workstations for their 3D applications.

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Cloud Gaming

Outsource GPU to the Cloud in order to host demanding applications such as online games.

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