e& UAE has announced a strategic partnership with Core42 to introduce the Sovereign AI Compute platform, designed to provide enterprises with a robust AI infrastructure while ensuring data sovereignty. This innovative offering combines Core42's sovereign GPU capacity with e& UAE's extensive connectivity network, allowing organizations to deploy AI applications without compromising sensitive data. The platform addresses the limitations of traditional cloud environments, particularly for regulated sectors such as financial services, by delivering scalable local GPU infrastructure that minimizes the need for significant capital investments in on-premises hardware.
Core42 is responsible for supplying the AI accelerators and implementation services, while e& UAE ensures carrier-grade connectivity that links enterprise environments directly to the new infrastructure. Additionally, the companies have launched GPU Connect, a bundled service that merges GPU access with premium connectivity, enabling users to build, train, and deploy AI models efficiently. The platform's cost structure is particularly attractive, featuring zero egress fees and no upfront capital expenditure, which could appeal to a wide range of businesses looking to leverage AI technology.
The partnership also incorporates Core42's Signature National Disaster Recovery Cloud, which enhances operational continuity during national-scale disruptions. Esam Mahmoud, Senior Vice President of SMB Sales and Marketing at e& UAE, emphasized that this collaboration simplifies and secures access to sovereign GPU infrastructure for UAE enterprises and government entities. Jaafar Al Hashmi, VP of Government Relations and Market Development at Core42, noted that this initiative transforms the concept of sovereign AI into a practical operational tool, integrating compute, connectivity, and implementation into a cohesive framework.
This initiative aligns with the UAE National Strategy for Artificial Intelligence 2031, which aims to bolster AI adoption across various sectors, including government operations, healthcare, finance, mobility, and digital infrastructure. As enterprises increasingly turn to AI to enhance their operations, the Sovereign AI Compute platform positions itself as a critical enabler for businesses in the region, fostering innovation and growth in a competitive landscape.
Core42 is responsible for supplying the AI accelerators and implementation services, while e& UAE ensures carrier-grade connectivity that links enterprise environments directly to the new infrastructure. Additionally, the companies have launched GPU Connect, a bundled service that merges GPU access with premium connectivity, enabling users to build, train, and deploy AI models efficiently. The platform's cost structure is particularly attractive, featuring zero egress fees and no upfront capital expenditure, which could appeal to a wide range of businesses looking to leverage AI technology.
The partnership also incorporates Core42's Signature National Disaster Recovery Cloud, which enhances operational continuity during national-scale disruptions. Esam Mahmoud, Senior Vice President of SMB Sales and Marketing at e& UAE, emphasized that this collaboration simplifies and secures access to sovereign GPU infrastructure for UAE enterprises and government entities. Jaafar Al Hashmi, VP of Government Relations and Market Development at Core42, noted that this initiative transforms the concept of sovereign AI into a practical operational tool, integrating compute, connectivity, and implementation into a cohesive framework.
This initiative aligns with the UAE National Strategy for Artificial Intelligence 2031, which aims to bolster AI adoption across various sectors, including government operations, healthcare, finance, mobility, and digital infrastructure. As enterprises increasingly turn to AI to enhance their operations, the Sovereign AI Compute platform positions itself as a critical enabler for businesses in the region, fostering innovation and growth in a competitive landscape.
Source: Fintech News ME
