Sovereign AI overcomes compliance challenges and feeds innovation in public sector and other regulated industries, say HPE and NVIDIA

Enterprises, such as governments and regulated industries, are facing the challenge of integrating AI while complying with ever-changing regulations. Data plays a crucial role in AI development, and organizations must be diligent data custodians in addition to managing their infrastructure, supply chain, and software. Sovereign AI aims to provide enterprises and even nation-states with complete control over their AI systems, from construction to deployment, operation, and governance.

It focuses on data, infrastructure, models, operations, and policies within legal, regulatory, or geographic boundaries. Sovereign AI is essential for organizations and governments that require tailored AI environments matching their unique security, compliance, privacy, and governance needs. For some, this means storing sensitive data domestically; others wish to control system access, workload locations, model governance, and applicable laws.

HPE and NVIDIA have collaborated to offer the HPE Sovereign AI Factory, a solution for highly-regulated sectors, allowing them to maintain strict local control over sensitive data, models, and operations. The factory integrates customized, validated infrastructure with HPE services from deployment to ongoing support, assisting customers in ensuring security, compliance, and control across various IT aspects.

James Hayes discusses this shift in AI development with Thierry Pienaar, HPE fellow and Chief Technology Officer for HPC & AI worldwide at HPE, and Kaushik Shirhatti, VP, AI factory at NVIDIA. They break down the key considerations for any organization's sovereign AI program, emphasizing the importance of control over data, infrastructure, models, operations, and policies within defined legal, regulatory, or geographic boundaries.