AI Deploy
AI Deploy
Easily deploy machine learning models and applications into production, create your API access points with ease and make effective predictions.
Why choose OVHcloud AI Deploy?
Flexibility, performance and high availability
Whether you need 10 requests per day or 10,000 per minute, AI Deploy adjusts resources for the best experience. What’s more, this ensures high availability and automatic load balancing across multiple instances.
Fast deployment and managed architecture
Simplify the prototype-to-production process with AI Deploy. Easily industrialise your models in minutes using OVHcloud Control Panel, API, or CLI. With AI Deploy, you can manage your deployments without worrying about the underlying hardware.
Security and compliance
Our sovereign European cloud ensures that your data is secure. Our cloud infrastructures and services are certified ISO/IEC 27001, 27017, 27018 and 27701. With our health data hosting compliance, you can host healthcare data securely.
Use case examples
Startups and SMEs
Are you working on internal projects that you want to deploy to production? It has never been so simple and achievable for your teams. Streamlit, Gradio, or simply API access points in a Docker image: all your projects can be put into production smoothly and easily. Your imagination is the only limit!
SaaS providers
Automate your deployments with OVHcloud APIs. Securely provide your customers with individual AI models and applications, and keep predictive control of access and costs.
Consulting companies
Business dashboard, fraud analysis, and more. Whatever your use case, easily deploy your AI projects to production for you or your customers, without using a team of architects. Control your budget with predictive pricing.
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Your questions answered
What is AI deployment?
AI deployment refers to the process of integrating and applying an AI model in a production environment. This process includes setting up the model to process data, interact with other systems, and provide real-time and batch predictions or analyses.
How do I deploy an AI model in the cloud?
There are several steps involved in deploying an AI model in the cloud. First, ensure that the model is properly prepared, well-trained, validated, and ready for deployment. Then choose a platform like OVHcloud for deployment. Use tools like Docker to containerise the model to make it more scalable and deployable. Then, configure the necessary resources (CPU, memory, etc.) and security rules to deploy the container. Lastly, integrate the deployed model with existing applications or workflows via APIs or microservices.
What is an AI platform?
An AI platform is a suite of tools and services designed to make it easier to develop, train, test and deploy AI models. These platforms typically feature libraries of pre-trained models, data analysis tools, coding environments, and scalable computing capabilities. They are aimed at minimising the technical complexity of creating AI solutions, and speeding up the development of AI projects.