Did you know that our managed databases offers are more flexible and resilient than ever ? Let’s discover together what we released recently ! What’s new? Over the past months, we continued to gather feedback from our customers and improve our offers. Now powering thousands of databases clusters, we focused on the major requests discussed […]
Major improvements for Public Cloud Databases Read More »
Are you using notebooks, such as Google Colab, for your business, studies or own usage? Are you reaching the maximum capabilities of this service and are looking for a simple yet powerful alternative? This blog post is for you! We will explore our own solution. Let’s be honest – Google Colab is solving many challenges.
OVHcloud AI Notebooks: the power of Jupyter without any compromise Read More »
Building on the success of Public Cloud Databases for MongoDB, we know how much a managed service increases the performance, scalability and resiliency of your database. Now, a new batch of managed Databases as a Service (DBaaS) aka PostgreSQL, MySQL, Apache Kafka, OpenSearch and Redis™* is in free beta. Why do they stand out? What are their main
A bit more than 3 months ago, we announced in a previous post our intention to provide managed databases in our Public Cloud ecosystem. After hundreds of cluster delivered for free, dozens of pull requests, tons of constructive discussions with customers and partners,… we are live! We are really pleased to announce our Public Cloud
Announcing Public Cloud Databases for MongoDB in General Availability! Read More »
I’ve been dreaming about writing this blog post for almost 4 years, and today is finally the big day! We’ve just started providing managed databases as a service in our Public Cloud offer, starting with the wonderful MongoDB engine. Many others will follow in the coming months. This means so much to us and also
Announcing Public Cloud Databases! starting with MongoDB this week Read More »
A growing number of companies are using artificial intelligence on a daily basis — and dealing with the back-end architecture can reveal some unexpected challenges. Whether the machine learning workload involves fraud detection, forecasts, chatbots, computer vision or NLP, it will need frequent access to computing power for training and fine-tuning. GPUs have proven to
Managing GPU pools efficiently in AI pipelines Read More »
