Cloud & AI Factory is a platform developed by Cloud Inspire, based on OpenNebula and open-source technologies. It allows you to deploy a private cloud, key in hand, centralize the management of multiple sites, and prepare your infrastructure for artificial intelligence.

A complete infrastructure, ready to be exploited
Computing, storage, network, security, and orchestration are combined to host your applications, data, and AI services. Virtual machines, Kubernetes clusters, and GPU resources are organized according to the needs of your teams, with a self-service portal, a service catalog, and access rights management.

Use cases for Cloud & AI Factory

A single platform for multiple sites and hosts
Centralize the management of your infrastructures distributed between your premises, data centers, and hosts — IONOS, OVHcloud, Scaleway, or AWS — according to the chosen architectures and integrations. Harmonize administration, access, and resource allocation from a common interface.

Assisted migration from VMware
Evolve your virtualization to an open platform based on OpenNebula and KVM. We prepare and accompany each step: inventory, dependency analysis, testing, progressive migration, and validation, with a rollback plan.

An internal cloud for your teams and subsidiaries
Offer a catalog of on-demand resources: virtual machines, storage, and application environments. Each entity has its own spaces, rights, and quotas, with centralized governance.

A consolidated and better utilized infrastructure
Combine your servers and environments on a common base. Share computing and storage capabilities to limit underutilized resources and simplify operation.

An organized recovery between multiple sites
Prepare a backup site for your critical applications. We define backup, replication, and recovery mechanisms according to your availability objectives, then test the switch and return to production procedures.

Kubernetes environments for your applications
Make Kubernetes clusters available to your development teams. Centralize resource management and facilitate the creation of development, testing, and production environments.

A sovereign platform for your AI
Host your models, assistants, and AI agents close to your data. Allocate the necessary resources to different projects while controlling access and hosting conditions.

Shared GPU resources for AI and research
Share GPU capabilities between teams and projects for inference, fine-tuning, training, or scientific computing. Organize their allocation according to needs and priorities.