KAUST ·
KAUST held its second hackathon and third NVIDIA workshop. Attendees listened to lectures from international experts. Participants worked on porting their scientific applications to a GPU accelerator. Why it matters: Such events help build regional expertise in accelerated computing and attract international collaboration.
KAUST ·
KAUST's Supercomputing Laboratory and NVIDIA co-hosted the "Accelerating Scientific Applications Using GPUs" workshop, attended by 120 participants. The event included technical sessions, guest lectures from KAUST faculty and NVIDIA, and presentations on KAUST applications developed on NVIDIA GPUs. KAUST also held its first hackathon, where teams ported scientific applications to GPU accelerators with guidance from KAUST and NVIDIA mentors. Why it matters: This collaboration strengthens KAUST's position as a hub for high-performance computing and GPU-accelerated research in the region, fostering talent development and collaboration with industry partners.
MBZUAI ·
G42 and Cerebras, in partnership with MBZUAI and C-DAC, will deploy an 8 exaflop AI supercomputer in India. The system will operate under India's governance and security frameworks as part of the India AI Mission. It will provide access to compute for researchers, startups, and government entities. Why it matters: This deployment represents a major boost to India's AI infrastructure and sovereign AI capabilities, expanding access to advanced compute resources in the region.
G42 ·
G42 and Cerebras, in partnership with MBZUAI and C-DAC, will deploy an 8 exaflop AI supercomputer in India. The system will operate under India's governance frameworks, ensuring data sovereignty and security. It aims to democratize access to AI innovation for researchers, startups, and government entities. Why it matters: This initiative significantly enhances India's AI infrastructure and promotes sovereign AI capabilities for local innovation while strengthening UAE-India strategic ties.
arXiv ·
This paper analyzes the energy consumption and carbon footprint of LLM inference in the UAE compared to Iceland, Germany, and the USA. The study uses DeepSeek Coder 1.3B and the HumanEval dataset to evaluate code generation. It provides a comparative analysis of geographical trade-offs for climate-aware AI deployment, specifically addressing the challenges and potential of datacenters in desert regions.
UAE AI Jobs ·
Nvidia is expanding its market beyond GPUs with the development of a central processing unit (CPU) based on Arm architecture. This move positions Nvidia to compete directly with established CPU manufacturers like Intel and AMD. The company aims to offer integrated hardware and software solutions optimized for AI and data science workloads. Why it matters: Nvidia's entry into the CPU market could accelerate AI development and adoption in the Gulf region by providing more specialized and efficient computing solutions.