Scality, a provider of data infrastructure software, has partnered with OVHcloud, a European cloud services provider, to introduce a joint storage platform designed to support European digital sovereignty. The platform is intended to enable organisations to manage sensitive data within infrastructure that does not rely on U.S. hyperscale cloud providers, while supporting the performance and resilience requirements of AI workloads.
The platform offers multiple deployment options, including a sovereign cloud dedicated to individual customer requirements and on-premises deployments through the OVHcloud OPCP (On-Prem Cloud Platform). It also supports backup replication across multiple availability zones (multi-AZ) to improve data resilience.
The collaboration between Scality and OVHcloud is designed to address business requirements related to data protection, regulatory compliance, and infrastructure for AI workloads. Organisations operating under increasingly stringent regulations may also require private infrastructure capable of supporting compute-intensive AI applications.
Sovereign Infrastructure and Performance
Many organisations seek cloud flexibility while retaining control over where sensitive data is stored and processed. This is particularly relevant in sectors such as healthcare, finance, defence, and public services, where compliance with regulations including GDPR, DORA, NIS2, and HIPAA is an important consideration.
The combined Scality and OVHcloud OPCP offering includes Scality RING and ARTESCA object storage, which provide S3-compatible object storage for deployment on customers' on-premises infrastructure. The OPCP platform adds cloud-native orchestration, a managed services catalogue, and deployment automation, operating independently of public cloud services provided by foreign hyperscalers.
For organisations requiring off-site backups, the partnership also includes a storage offering on OVHcloud's Bare Metal infrastructure through the HGR-STOR range. The platform is S3 compatible and integrates with cyber resilience tools including Veeam and Commvault. According to the companies, the use of dedicated servers without shared resources is intended to provide consistent performance and workload isolation.
AI Close to the Data
Artificial intelligence workloads typically require significant volumes of data and compute resources, while latency, confidentiality, and regulatory requirements may also influence where data is processed. Training and inference using sensitive datasets, such as medical records, financial transactions, or industrial telemetry, may benefit from processing close to where the data is stored.
The Scality–OVHcloud OPCP platform is intended to support these requirements by combining Scality's object storage, which is GPU Direct compatible and optimised for AI data pipelines, with OPCP's managed on-premises infrastructure. This enables organisations to train AI models, manage MLOps pipelines, and deploy AI applications within their own environments while maintaining control over data and supporting regulatory compliance.
