Cloud servers specially designed for processing massively parallel tasks
GPU instances integrate NVIDIA Tesla V100 graphic processors to meet the requirements of massively parallel processing. Since they are integrated into the OVHcloud solution, you get the advantages of on-demand resources and hourly billing. These cloud servers are adapted to the needs of machine learning and deep learning.
Powered by NVIDIA Tesla V100
These GPUs are among the most powerful on the market, and are designed for use in datacentres. They accelerate computing in the fields of artificial intelligence (AI) and graphic computing.
NVIDIA GPU Cloud
To provide the best user experience, OVH and NVIDIA have partnered up to offer a best-in-class GPU-accelerated platform, for deep learning and high-performance computing and artificial intelligence (AI). It is the simplest way to deploy and maintain GPU-accelerated containers, via a full catalogue. Find out more.
Between one and four cards with guaranteed performance
Tesla cards are delivered directly to the instance via PCI Passthrough, without a virtualisation layer, so that all of their power is dedicated to your use. Up to four cards can be connected to combine their performance. As a result, the hardware delivers all of its computing power to your application.
NVIDIA Tesla V100 Features
|Performance with NVIDIA GPU Boost||
Bidirectional connection bandwidth
|CoWoS Stacked HBM2 memory|
Need to train your artificial intelligence with GPUs?
With our AI Training solution, you can train your AI models efficiently and easily, and optimise your GPU computing resources.
Focus on your business instead of the infrastructure that supports it. Launch your training tasks via a command line, and pay for the resources used by the minute.
Launch your instance by choosing a T1 model and NGC image for your project.
$ docker pull nvcr.io/nvidia/tensorflow
$ nvidia-docker run nvidia/tensorflow t1
Your AI framework is ready for processing.
GPU instances are billed like all of our other instances, on a pay-as-you-go basis at the end of each month. The price depends on the size of the instance you have booted, and the duration of its use.