GPU instances

A cloud server for massively parallel processing, billed by the hour or by the 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
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.
Machine Learning: the high number of cores and the quicker memory of GPUs make them much faster than CPUs on these algorithms.

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...).

Based on the benchmark cloud technology


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


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


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


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, many of the patches and new features introduced continuously into different projects are compiled, tested and included in OVH cloud instances.