Month: July 2020

Do you need to process your data? Try the new OVHcloud Data Processing cloud service!

Do you need to process your data? Try the new OVHcloud Data Processing service!

One of the data services of OVHcloud is called OVHcloud Data Processing (ODP). It is a service that allows you to submit a processing job without caring about the cluster behind it. You just have to specify the ressources you want to use for your job, and the service will abstract the cluster creation, and destroy it for you as soon as your job is finished. In other words, you don’t have to think about clusters any more. Decide how much resources you need to process your data in the most efficient way for you and let OVHcloud Data Processing do the rest.

Selfheal at Webhosting – The external part

Selfheal at Webhosting – The external part

Introduction With almost 6000000 websites hosted on more than 15000 servers, the OVHcloud Webhosting SRE team manage lots of alerts during their working day. Our infrastructure is constantly growing, but to scale smoothly, the amount of time spent solving alerts should not increase proportionally. We need, therefore, some tools to help us.  In our team, we …

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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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