OVHcloud AI & Machine Learning
Run AI and machine learning workloads with Jupyter and VS Code on scalable cloud servers. Train models, analyze data, and accelerate development.
General Information
- AI Dashboard - Getting started→
- AI Tools - Lifecycle policy→
- AI Tools - ovhai SDK→
- Data - Compliance between AI Tools and S3™ * compatible Object Storage→
- Data - Concept and best practices→
- FAQ - AI Tools→
- Overview of OVHcloud AI Tools - AI Notebooks, AI Training, AI Deploy→
- Registries - Use & manage your registries→
- Users - Manage AI users and roles→
- AI Tools - Monitor your cloud resources→
- AI Tools - Remote SSH Connection→
CLI
AI Notebooks - Key concepts
AI Notebooks - Getting started
AI Notebooks - Configuration
AI Notebooks - Tutorials
- AI Notebooks - Tutorial - Audio analysis and classification with AI→
- AI Notebooks - Tutorial - Brain tumor segmentation using U-Net→
- AI Notebooks - Tutorial - Build your spam classifier→
- AI Notebooks - Tutorial - Fine-Tune and export an AI model to ONNX→
- AI Notebooks - Tutorial - Fine-tuning LLaMA 2→
- AI Notebooks - Tutorial - Track your ML models with MLflow inside notebooks→
- AI Notebooks - Tutorial - Weights & Biases integration→
AI Notebooks - Troubleshooting
AI Notebooks - Additional resources
AI Training - Key concepts
AI Training - Getting started
AI Training - Configuration
AI Training - Tutorials
AI Training - Troubleshooting
AI Training - Additional resources
AI Deploy - Key concepts
AI Deploy - Getting started
AI Deploy - Configuration
AI Deploy - Security
AI Deploy - Tutorials
- AI Deploy - Tutorial - Build & use a custom Docker image→
- AI Deploy - Tutorial - Create and deploy a Speech to Text application using Streamlit→
- AI Deploy - Tutorial - Deploy a Gradio app for sketch recognition→
- AI Deploy - Tutorial - Deploy a simple app with Flask→
- AI Deploy - Tutorial - Deploy an app for sentiment analysis with Hugging Face and Flask→
- AI Deploy - Tutorial - Deploy an interactive app for EDA and prediction using Streamlit→
- AI Deploy - Tutorial - Deploy and call a spam classifier with FastAPI→
- AI Deploy - Tutorial - How to load test your application with Locust→
AI Deploy - Troubleshooting
AI Deploy - Additional resources
Go further
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