Core42, a G42 firm and provider of sovereign cloud and AI infrastructure and services, has signed a strategic collaboration agreement with AMD. This agreement will overview Core42 and AMD trial AI, Machine Learning, and explore confidential computing for public and private cloud deployments.
According to Industry sources, the agreement was signed by the representatives of both the Core42 and AMD at Gitex Global 2024 in Dubai and will also begin with a proof-of-concept evaluation of AMD Instinct accelerators utilizing Core42 production workloads.
“At Core42, we recognize that security is the new frontier of performance. We strive to enable businesses with confidential compute to process sensitive data with unparalleled protection, redefining what it means to be a high-performing system in the digital age,” stated Adrian Hobbs, CTO of Core42. “By partnering with AMD we’re enabling our customers to achieve robust security without compromising on speed or functionality—a true hallmark of next-generation computing.”
“This agreement with Core42 highlights our commitment to helping customers and partners leverage AI to meet their business needs,” stated Zaid Ghattas, META Senior Commercial Lead, AMD. “AMD will work with Core42 to empower businesses with exceptional compute performance to accelerate digital transformation.”
Industry sources further confirmed that as a part of this co-operation, Core42 will take core steps towards accelerating technology deployment for businesses across the UAE and abroad, focusing on areas such as AI and predictive analytics, Machine Learning, cloud transformation and strategy, and end-user device engagement.
Industry sources further confirmed that this partnership displays Core42’s strategy of enabling clients to thrive in the AI-driven era by offering best-in-class solutions. AMD Instinct accelerators enable leadership performance for the data center, supporting single-server solutions up to the world’s largest, Exascale-class supercomputers. They are uniquely suited to power even the most demanding AI and HPC workloads, offering large memory density, high bandwidth memory, and support for specialized data formats.
