OVHcloud Engineering

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

Infrastructure as Code (IaC) on OVHcloud – part 2: Pulumi

In our previous article, Infrastructure as Code (IaC) on OVHcloud – part 1: Terraform / OpenTofu, we saw that deploying manually take time and it’s complicated. That why Infrastructure as Code (IaC) is powerful and allow you to automate infrastructure provisioning. But do you know that Terraform/OpenTofu is not the only tool that exists? In […]

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🧠AI Concepts in a Nutshell: LLM Optimization

RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Here’s a quick comparison. 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) 🔍 RAG combines an LLM’s reasoning with external knowledge through three steps:1️⃣ Retrieve: Identify related documents

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Create Kubernetes clusters with OVHcloud Managed Rancher Service

Container orchestration is now essential for modern application deployment, providing scalability, flexibility, and resource efficiency. It has become common to have to manage several Kubernetes clusters, but doing so effectively requires the right tools. Fortunately, OVHcloud offers a solution that enables you to manage all your Kubernetes clusters from a single, centralized management tool: Managed

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🧠 AI concept in a Nutshell: LLM series.

LLM (Large Language Model) has undoubtedly been one of the most buzzing topics over the past two years, since the release of ChatGPT by OpenAI. 𝗧𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗟𝗟𝗠𝘀 Large Language Models are essentially sophisticated AI systems designed to understand and generate human-like text. What makes them large” is the sheer volume of data they’re

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An happy AI

Create a sentiments analyzer with 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 blog post, we will explore how

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Reference Architecture : Retrieval Augmented Generation (RAG)

This document presents a reference architecture for a simple Retrieval Augmented Generation solution based on a vector Db using OVHcloud managed services. In this use case we have a large number of pdf/markdown documents that are ingested as a single batch to create a knowledge base and a simple text chat interface for a user

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Infrastructure as Code (IaC) on OVHcloud – part 1: Terraform / OpenTofu

DevOps is based on 4 principles: Infrastructure as Code is part of the Automation principle. Deploying manually take time and it’s complicated. You have to setup servers, configure network, storage, softwares… And of course you have to maintain and update all of this infrastructures, deploy new versions, backup and restore applications, again and again. For

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An IA help coders to develop

Create a code assistant with Continue and 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.Also, be sure to check out this blog post about deploying Coder on the OVHcloud Managed Kubernetes Service. In the field of the code assistant

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How to install a modern Cloud Development Environment in your Public Cloud project

Whether you call it Cloud Development Environment, Developer Workspace Platform or Remote Ephemeral Workspaces, a new set of tools and services appeared in the last 10 year.The idea is to define an environment through a container tool and manage it with all the needed security, user management, update management, templating tools and all the bells

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