GPU Instances

A Cloud server for massive parallel task processing and billed hourly or monthly.

GPU Instances g2

Dedicated GPU Nvidia GeForce GTX 1070
1920 cœurs CUDA
8 GB GDDR5
15 - 30 GB RAM
4 - vCores
3.1 GHz
100 - 200  GB SSD RAID Local
250 - 500  Mbps bandwidth
1000 - 2000  Mbps of vRack bandwidth

From

$190.4
/month

GPU Instances g3

1 to 3 dedicated PU Nvidia GeForce GTX 1080 Ti
3584 CUDA cores
11 GB GDDR5X
30 - 120 GB RAM
8 - 32 vCores
2.3 GHz
200 - 600  GB SSD RAID Local
500  Mbps bandwidth
2000 - 8000  Mbps of vRack bandwidth

From

$380.8
/month

NVIDIA GeForce GTX 1080 Ti

This latest-generation Nvidia graphics card is based on Pascal architecture. It can also be used as a graphic accelerator for 3D software, or as a co-processor thanks to its CUDA cores, which perform single-precision calculations such as Deep-Learning or video encoding.

GeForce GTX 1080 Ti:
  • 3584 CUDA cores
  • 11 GB GDDR5X
  • 484 GB/s maximum bandwidth
  • Nvidia GPU Boost 3.0 Technology
video
Video
Speed up video processing and encoding through parallel tasking across the card's 3584 CUDA cores.
3D rendering
3D rendering
Harness the GPU’s computing power to generate your animations/images.
Development
Development
Machine Learning : le nombre de cœurs et la mémoire plus rapide des GPUs les rends beaucoup plus rapides que les CPUs sur ces algorithmes.

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 for resource-intensive applications which require a large number of parallel tasks (image processing, bioinformatics, big data ... ).

Based on the reference cloud technology

Mature

Companies such as PayPal, WalMart, NASA and CERN have all adopted OpenStack.

Standard

OpenStack guarantees reversibility (you can use the same API if you change provider).

Hybrid

You use the same API on your OVH Private Cloud and Public Cloud (a hybrid strategy).

Community

OpenStack is one of the most active open-source projects, ahead of the Linux kernel.

Did you know..?

OVH is a major OpenStack partner (Infrastructure Donor). As a result, a significant portion of patches and new features introduced continuously into different projects are compiled, tested and included in OVH cloud instances.