A strategic partnership between Cloudian and NVIDIA is delivering full-stack sovereign AI across Asia-Pacific by integrating Cloudian HyperScale AI Data Platform with NVIDIA AI Enterprise to keep data and models within national and regulatory boundaries.

The HyperStore for AI Data Management offers on-premises, geo-boundary-respecting data handling with S3 API compatibility, high throughput, and air-gapped options for classified environments.

Industry voices from ResetData, NVIDIA, Yotta Data Services, Sify Technologies, Kakao Enterprise, and others emphasize sovereignty, data locality, and regulatory compliance as key drivers for sovereign AI deployments.

Quotes underscore that data sovereignty is crucial for regulated sectors such as banks, stock exchanges, and government systems, enhancing trust with enterprise customers.

The platform enables access to the majority of unstructured enterprise data—reports, manuals, presentations, multimedia—without leaving borders by bringing compute to data and avoiding migration.

The solution eliminates infrastructure complexity by integrating accelerated compute, storage, and vector databases directly with native S3-compatible data sources, reducing the need for separate stacks.

Benefits include simplified deployment, TBs/sec throughput in a single rack via S3 RDMA, air-gapped options for classified environments, and alignment with national data sovereignty and governance requirements.

The platforms automatically convert enterprise data stores into AI-ready resources and include built-in vector database capabilities for near real-time access to multimodal unstructured content, enabling AI agents to search and analyze institutional knowledge while preserving sovereignty.

Near real-time AI analysis can be conducted directly on native S3-compatible data sources while maintaining data sovereignty, reducing the need for multiple separate compute/storage/database stacks.

The solution targets governments, financial institutions, healthcare, and regional service providers aiming to unlock insights from unstructured data within geographic boundaries to advance sovereign AI initiatives.

Use examples highlight adherence to data sovereignty laws (Australia, India, Korea) and support for regulated sectors like banking, stock exchanges, and government systems.

India and Korea are cited as regional examples where sovereign AI adoption is progressing, with emphasis on data localisation and alignment with national AI strategies.