Google is expanding its push into on-premises artificial intelligence through Google Distributed Cloud, targeting organisations with strict data sovereignty and compliance requirements. The offering is aimed at enterprises and governments that want to keep sensitive data in local environments while using newer AI systems. Businesses and public sector bodies have faced a trade-off between using advanced AI services and keeping data within tightly controlled jurisdictions. The first is jurisdictional risk, as changing regulation, intellectual property concerns and foreign data access requests push organisations to keep data local. The platform extends Google Cloud services into customer-controlled environments and is available in two deployment models.