AI

reference architecture vLLM deployment and metrics obervability stack

Reference Architecture: Custom metric autoscaling for LLM inference with vLLM on OVHcloud AI Deploy and observability using MKS

Take your LLM (Large Language Model) deployment to production level with comprehensive custom autoscaling configuration and advanced vLLM metrics observability. This reference architecture describes a comprehensive solution for deploying, autoscaling and monitoring vLLM-based LLM workloads on OVHcloud infrastructure. It combinesAI Deploy, used for model serving with custom metric autoscaling, and Managed Kubernetes Service (MKS), which […]

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n8n rag AI agent architecture schemas

Reference Architecture: build a sovereign n8n RAG workflow for AI agent using OVHcloud Public Cloud solutions

What if an n8n workflow, deployed in a sovereign environment, saved you time while giving you peace of mind? From document ingestion to targeted response generation, n8n acts as the conductor of your RAG pipeline without compromising data protection. In the current landscape of AI agents and knowledge assistants, connecting your internal documentation with Large Language Models (LLMs)

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Safety first: Detect harmful texts using an AI safeguard agent

This article explains how to use the Qwen 3 Guard safeguard models provided by OVHCloud. Using this guide, you can analyse and moderate texts for LLM applications, chat platforms, customer support systems, or any other text-based services requiring safe and compliant interactions. Our focus will be on written content, such as conversations or plain text.

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Agentic AI from a security perspective

Large Language Models (LLMs) and generative AI technologies are everywhere, infiltrating both our personal and professional daily lives. Well-known services are already diverting most internet users away from their old browsing habits, and online information consumption is being profoundly transformed, most likely with no possible return to past behaviours. Issues related to intellectual property laws

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PostgreSQL and AI: The pragmatic path to smarter data

Beyond the buzz: Building AI on solid foundations Artificial intelligence has quickly become the cornerstone of digital innovation. From text generation to image recognition and intelligent automation, AI is redefining how organisations extract value from data. At OVHcloud, we believe this transformation shouldn’t only belong to the tech elite – it should be open, accessible,

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10 Reasons Scaling Startups Are Migrating to OVHcloud

Cloud infrastructure plays a critical role in how startups scale—affecting everything from product delivery and user experience to budget and compliance. While many startups begin their journey with public cloud giants, the challenges of unpredictable costs, data control, and technical constraints become more apparent as they grow. For startups ready to scale smarter, OVHcloud offers

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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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Use Kilo Code with AI Endpoints and VSCode

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. In a previous blog post we explained how to use Continue with VSCode to create a code assistant with AI Endpoints. In this blog

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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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