Public Cloud

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Back from Snowcamp 2024

@Snowcamp A few words about the conference The Snowcamp conference took place in Grenoble (near the French Alps) from January 30 to February 1. It’s a medium-sized conference, with 600 attendees and over 60 talks and workshop, mainly for developers. What was OVHcloud doing? This year we were not sponsors (unlike last year), but we […]

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Startup Program Update

Since 2015, the OVHcloud Startup Program has been engaging with the global startup ecosystem to give startups and scaleups the opportunity to build their products and solutions on our cloud. We offer them free cloud credits and technical consultations, as well as help accessing funding and new customers. The program has two levels: tech start-ups

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Cloud Transformation: how to bring clarity and speed to your cloud migration project

Cloud Transformation: how to bring clarity and speed to your cloud migration project

A tale of migration to the cloud The benefits for clients to shift their applications and IT landscapes to the cloud are already well understood. It usually revolves around expected performance gains, scalability advantages of cloud-native products, boosted productivity, security and greatly reduced maintenance efforts for all assets leveraging cloud platform services. In summary the ultimate goal is shifting from

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How the cloud can help you successfully release video games

How the cloud can help you successfully release video games

The most popular video game franchises continue to appeal to gamers thanks to ever-increasing resources among publishers. Despite being up against big names in the market, more and more independent studios are also finding great success by tapping into new concepts. With faster release cycles, up-and-coming studios need to be flexible to compete with AAA

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Metal Instances: the power of Bare Metal and the automation of the cloud with pay-as-you-go 

Metal Instances: the power of Bare Metal and the automation of the cloud with pay-as-you-go 

We have announced the General Availability of Metal Instances and it’s a major milestone for OVHcloud. Considering that we have shipped more than 1 million physical servers since our inception in 1999 and that our market recognition continues to get stronger (see OVHcloud positioned in the “Major Players” Category in IDC MarketScape: Worldwide Public Cloud

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New services in General Availability for managing your network and traffic in Public Cloud: Load Balancer, Gateway, and Floating IPs

New services in General Availability for managing your network and traffic in Public Cloud: Load Balancer, Gateway, and Floating IPs

The need for managed services so you can focus on your core business Our customers have been able to build, deploy and run their applications in the cloud by leveraging our Public Cloud, a coherent and integrated ecosystem of infrastructure and managed services. As our customers’ cloud applications evolve, the need for ready-to-use, managed services

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Welcome to the first edition of Public Cloud changelog

Welcome to the first edition of Public Cloud changelog

One way to look at our Public Cloud universe is to consider it as an integrated ecosystem of infrastructure and managed services that enables organizations to build, run, and manage their applications in a trusted cloud environment. One key attribute of our Public Cloud, is the scope of technologies we use, ranging from infrastructure to

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streamlit app for eda and interactive prediction

Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)

A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project,

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Deploy a custom Docker image for Data Science project – Gradio sketch recognition app (Part 1)

A guide to deploy a custom Docker image for a Gradio app with AI Deploy. When creating code for a Data Science project, you probably want it to be as portable as possible. In other words, it can be run as many times as you like, even on different machines. Unfortunately, it is often the

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