Jean-Louis Queguiner

Head of #Data & #AI @OVH
Product Unit Lead and Technical Direct #Data & #AI Passionate about Cyber and reproducing AI Research Papers
Leading Databuzzword french podcast: spreaker.com/user/guignol
and https://www.youtube.com/c/Databuzzword

How to virtualize PCI-e GPU in the cloud ?

How to virtualize PCI-e GPU in the cloud ?

A quick introduction to virtualization The purpose of virtualization is to isolated the user software environment from the hardware environment. The orchestration between these virtual environments is made by the hypervisor. Hypervisor also provides the ability for a Virtual Machines (VM) to execute instructions that are not directly compatible with the underlying architecture/hardware. VT-x and […]

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2021: major technological advances to accelerate, democratize and certify AI uses

2021: major technological advances to accelerate, democratize and certify AI uses

In 2020, OVHcloud launched a portfolio of PaaS solutions dedicated to Data and AI. As an innovative cloud player for the past 20 years, our up-to-date technology coupled with our close collaboration with data science communities as well as the most cutting-edge players in the sector has enabled us to identify 10 strong AI trends

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How PCI-Express works and why you should care? #GPU

How PCI-Express works and why you should care? #GPU

What is PCI-Express ? Everyone, and I mean everyone, should pay attention when they do intensive Machine Learning / Deep Learning Training. As I explained in a previous blog post, GPUs have accelerated Artificial Intelligence evolution massively. However, building a GPUs server is not that easy. And failing to create an appropriate infrastructure can have

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Sponsorship of the JupyterCon 2020: sharing values and supporting with infrastructure

Sponsorship of the JupyterCon 2020: sharing values and supporting with infrastructure

Echoing yesterday’s announcement on the Jupyter blog, OVHcloud is proud to support JupyterCon as platinum sponsor and infrastructure donor. As you probably know, Jupyter has been a huge enabler of the programming community, with over 140 Kernels supported such as Python, R, Julia, Spark, Sas, Haskell, Ruby, C++, Go, etc… The Jupyter Project embodies open and collaborative

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Understanding the anatomy of GPUs using Pokémon

Please welcome this beautiful new born in GPGPU Nvidia Family Ampere BLOG UPDATE FROM MAY 14, 2020 In the previous episode… In our previous blog post about Deep Learning, we explained that this technology is all about massive parallel matrix computation, and that these computations are simplistic operations: + and x. Fact 1:  GPUs are good

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