Innovation

Water cooling at OVHcloud

Water cooling: from innovation to disruption – Part II

In our previous post we talked about how our water block technology evolved from 2003 to 2014. Today we continue on this theme, exploring this technology post 2015. We will focus on the current generation of water blocks, and give you a sneak peek of the improvements to come. 2015 As 2015 approached, our key …

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Instances benefit from NVMe architecture

How our Public Cloud instances benefit from NVMe architecture

Every company is seeing its volume of data growing at an exponential rate, and it seems there is no way to reduce the quantity of data we rely on everyday. But at the same time, we have to extract value from this data, in order to optimise, improve and accelerate our business and the way …

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Water cooling at OVHcloud

Water cooling: from innovation to disruption – Part I

One of OVHcloud’s successes is our ability to develop and promote innovation, in both IT and industrial practices. For two decades, we have placed innovation at the centre of our strategy, it’s part of our DNA. We are constantly researching and developing new technologies to optimise the performance of our services. We manufacture our own …

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AI at OVHcloud

Academics and OVH: an AI-centric collaboration

At OVH, our innovation process stimulates internal collaboration. We have seen this with frugal innovation, but also externally with SMEs, schools or laboratories. An example of collaboration with academics is a particular thesis launched this year, about Artificial Intelligence, which focused on Automated Machine Learning field. Collaborative research at OVH through a thesis A CIFRE …

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Machine Learning with OVH Prescience

Prescience: Introducing OVH’s Machine Learning Platform

Machine Learning projects are becoming an increasingly important component of today’s search for more efficient and complex industrial processes. OVH Prescience is a Machine Learning platform that aims to ease the conception, deployment and serving of models in an industrial context. The system manages Machine Learning pipelines, from data ingestion to model monitoring. This involves …

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