OVHcloud Engineering

Follow our adventurous engineering team through the various Tech universe they discover and share on through and for the technical communities

A robot listening a podcast

Create a podcast transcript with Whisper by AI Endpoints

Check out this blog post if you want to know more about AI Endpoints.You can also find more info on AI Endpoints in our previous blog posts. This blog post explains how to create a podcast transcript using Whisper, a powerful automatic speech recognition (ASR) system developed by OpenAI. Whisper integrates with AI Endpoints and […]

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Create encrypted Persistent Volumes on OVHcloud Managed Kubernetes clusters with LUKS

Since this summer, it’s possible to create encrypted OVHcloud Block Storage with OMK (OVHcloud managed key) in RBX, SBG, Paris & BHS regions. More regions will come in the coming months 💪. And the good news is that you can use encrypted Block Storage using Persistent Volumes in your OVHcloud Managed Kubernetes Service (MKS) clusters

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A robot with a car tuning style

Fine tune an LLM with Axolotl and OVHcloud Machine Learning Services

There are many ways to train a model,📚 using detailed instructions, system prompts, Retrieval Augmented Generation, or function calling One way is fine-tuning, which is what this blog is about! ✨ Two years back we posted a blog on fine-tuning Llama models—it’s not nearly as complicated as it was before 😉.  This time we’re using the

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Using OVHcloud S3-compatible Object Storage as Terraform Backend to store your Terraform/OpenTofu states

When working on Infrastructure as Code projects, with Terraform or OpenTofu, Terraform States files are created and modified locally in a terraform.tfstate file. It’s a common usage and practice but not convenient when working as a team. Do you know that you can configure Terraform to store data remotely on OVHcloud S3-compatible Object Storage? OVHcloud

Using OVHcloud S3-compatible Object Storage as Terraform Backend to store your Terraform/OpenTofu states Read More »

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Model Context Protocol (MCP) with OVHcloud AI Endpoints

If you want to have more information on AI Endpoints, please read the following blog post.You can, also, have a look at our previous blog posts on how use AI Endpoints. OVHcloud AI Endpoints allows developers to easily add AI features to there day to day developments. In this article, we will explore how to

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Using Function Calling with OVHcloud AI Endpoints

If you want to have more information on AI Endpoints, please read the following blog post.You can, also, have a look at our previous blog posts on how use AI Endpoints. OVHcloud AI Endpoints allows developers to easily add AI features to there day to day developments. Stable Diffusion is a powerful artificial intelligence model

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Mistral Large deployment on OVHcloud

Reference Architecture: deploying the Mistral Large 123B model in a sovereign environment with OVHcloud

Are you ready to think bigger with the Mistral Large model 🚀 ? As Artificial Intelligence (AI) becomes a strategic pillar for both enterprises and public institutions, data sovereignty and infrastructure control have become essential. Deploying advanced large language models (LLMs) like Mistral Large, under a commercial license, requires a secure, high-performance environment that complies

Reference Architecture: deploying the Mistral Large 123B model in a sovereign environment with OVHcloud Read More »

Discover Kubernetes 1.33 features – Topology aware routing in multi-zones Kubernetes clusters

Kubernetes 1.33 version has just been released few days/weeks ago.As this new release contains 64 enhancements (!), it can not be easy to know what are the interesting and useful features and how to use them. In this blog post, let’s discover one of interesting and useful new feature: “Topology aware routing in multi-zones Kubernetes

Discover Kubernetes 1.33 features – Topology aware routing in multi-zones Kubernetes clusters Read More »