AI Server Hosting

The cost of an AI dedicated server varies significantly based on its configuration, including the type and number of GPUs, the amount of RAM and storage, the rental duration, and the data centre location.

Dedicated GPU servers, like those offered by OVHcloud, provide transparent and predictable monthly billing, making it easier to manage your budget compared to variable cloud instance pricing. To get an accurate quote, it's best to customise a server to your specific needs on our website.

The best hosting for AI workloads is typically dedicated bare metal servers equipped with powerful GPUs.

This type of hosting provides exclusive access to hardware resources, eliminating the "noisy neighbour" effect and ensuring maximum performance, control, and security for your computationally intensive AI training and inference tasks. Solutions like OVHcloud's bare metal GPU servers are designed precisely for these demanding environments.

The best server hosting to run AI models is one specifically optimised with high-performance components, primarily powerful NVIDIA GPUs.

These graphics processing units are essential for accelerating the parallel computations required by deep learning and other AI algorithms. Complementing the GPUs, a robust server should also feature high-core-count CPUs, ample RAM (typically 128 GB or more for large models), and fast NVMe SSD storage to handle extensive datasets and ensure rapid data throughput.

An AI server is a specialised high-performance computing system engineered to meet the intensive demands of artificial intelligence workloads.

Its core is typically comprised of one or more powerful Graphics Processing Units (GPUs) that provide the parallel processing capabilities necessary for training complex machine learning server models, performing rapid AI inference, and handling massive datasets involved in areas like deep learning, natural language processing, and computer vision.

OVHcloud bare metal GPU servers offer you full root access, providing complete control over your server environment. This powerful flexibility means you can install virtually any operating system, programming language, and AI framework you require, from Ubuntu and CentOS to Windows Server.

We ensure seamless compatibility with leading AI and generative AI frameworks, including TensorFlow, PyTorch, Scikit-learn, MXNet, and Hugging Face, enabling your developers to work with their preferred tools and accelerate their projects without limitations or vendor lock-in. This open approach allows you to tailor your stack precisely to your specific AI research or production needs.

Deploying an OVHcloud AI server is remarkably fast, often completing within minutes thanks to our advanced automated provisioning system.

This rapid deployment capability is crucial for dynamic AI development cycles, enabling you to quickly provision resources for new experiments, scale out for large training runs, or deploy inference endpoints on demand. Our efficient setup process ensures that you spend less time waiting and more time driving innovation, bringing your AI models to market faster.

Given that AI tasks often involve massive datasets, understanding storage options is crucial. This question can highlight OVHcloud's highly performant local NVMe SSDs and their connection to external, scalable storage options, such as Object Storage or high-performance block storage.