AI & machine learning

AI and Machine Learning OVHcloud

The power of artificial intelligence to empower everyone

Artificial intelligence (AI) is often seen as an aspect of data science reserved only for those who are experienced in the field. At OVHcloud, we believe in the outstanding potential of this practice in all business sectors. And we believe that the complexity of it should not be an obstacle in the use of big data and machine learning. This is why we focus our efforts on delivering tools that can help tackle the challenges faced by businesses, like predictive analysis of data sets, and making tools easier to use for all user profiles.

Our Machine Learning as-a-Service products

AI Notebooks

Get a quick, simple start launching your Jupyter or VS Code notebooks in the cloud

AI Training

Train your AI, machine learning and deep learning models efficiently and easily, and optimise your GPU usage.

AI Deploy

Easily deploy machine learning models and applications to production, create your API access points effortlessly, and make effective predictions.


Launch applications that leverage the power of NVIDIA GPUs, in a few clicks



OVHcloud takes sovereignty and freedom for personal data very seriously. You can retrieve your data at any time, using standard protocols.

Computing capacity

With industrialised datacentres and automated deployments, OVHcloud offers high computing capacity at the best price for data analytics.

Compliance and security for data

As a cloud provider responsible for hosting personal data, our commitment involves respecting data confidentiality.


In the world of data, open-source solutions are now the most mature, high-performance offerings. OVHcloud values the importance of basing its solutions on open-source software, like the Apache Hadoop and Apache Spark suites.


Our cloud infrastructures and services are ISO/IEC 27001, 27017, 27018 and 27701 certified. With our health data hosting compliance*, you can host French healthcare data securely.

* Coming soon

How to build and use your models

Collecting and preparing data

Machine learning involves using a very high volume of data, which must be easy to access and clean. The Data Analytics solution will help with this collection and preparation.

Creating and training models

Develop and train your own machine learning and deep learning models and algorithms.

In just a few clicks, you can harness the computing power of our GPUs for ultra-quick training tasks.


Move from prototype to production in just a few clicks. Use your preferred tools and frameworks, like TensorFlow, PMML and ONNX.

AI schéma OVHcloud
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What is machine learning as-a-Service?

Machine learning as-a-Service (or MLaaS) is a recent cloud service that offers machine learning. It has benefited from the rise of the cloud in recent years, along with SaaS, PaaS and IaaS. Companies can use it to get started in artificial intelligence (AI) at a lower cost, with a range of machine learning tools and development solutions to choose from. This will help you save time starting your business. Since these services will help you manage your budget, you can also develop all of the uses that machine learning software is designed for: risk assessment, fraud detection, marketing strategies, logistical optimisation, and much more.

MLaaS is used in many sectors such as healthcare, financial services, retail, distribution, and production lines. You can focus on your business, and leave your cloud computing service provider to manage your infrastructure deployment.


How do I choose the most suitable machine learning tool?

From the code deployment platform to the specialised software, there are many tools for machine learning. There are two things to consider before deploying AI in your organisation:

  • What you intend to set up machine learning for. This will have an influence on the tool choice, depending on the type of data that will be processed.
  • The programming language you use to create your machine learning solution. You will need to choose a tool that is adapted to suit your preferences, and the specifics of your business.