Outscale is expanding its Kubernetes service with support for dynamic scalability and GPUs. With this, the company is targeting organizations that want to execute AI projects in a controlled and sovereign cloud environment.
Outscale (from Dassault Systèmes) is adding new functionality to its managed Kubernetes platform. Outscale Kubernetes as a Service (OKS) now supports autoscaling and the latest generation of GPUs. This expansion is intended for companies and institutions that want to run AI workloads within a strictly regulated cloud environment with complete control over data and infrastructure.
Sovereign and not shared
The solution runs within the sovereign public cloud of Outscale, which has been certified by the French authority ANSSI with the SecNumCloud label. This means that the platform can be used for European organizations that place sovereignty at the center of their cloud strategy. Each customer gets access to a fully dedicated Kubernetes cluster, without system resources being shared with other customers.
read also
European IT Sector Forms Alliance for Digital Independence
The new autoscaling functionality allows OKS to automatically increase or decrease compute resources based on the current load. This helps to run AI and cloud-native applications more efficiently, with better performance and less manual management. Support for modern GPUs offers additional capacity for compute-intensive applications such as machine learning and deep learning.
With this expansion, Outscale is explicitly targeting organizations that want to develop AI applications in a controlled, European cloud environment. By focusing on open standards and cluster isolation, interoperability is maintained. At the same time, organizations retain maximum control over their data and systems.