G42 and the Government of India formalized a commercial framework for the deployment of Condor Galaxy India, an 8-exaflop AI supercomputing cluster comprising 64 Cerebras CS-3 systems. This agreement, witnessed by the UAE President and Indian Prime Minister, positions G42 to partner with India's Centre for Development of Advanced Computing (C-DAC) for installation and operations. The supercomputer is intended to be a foundational asset for India's sovereign AI ambitions and underpin joint R&D across health, genomics, energy, and geospatial analytics. Why it matters: This major infrastructure partnership significantly advances AI capabilities in India, deepens strategic ties between the UAE and India, and expands G42's global footprint in high-performance computing.
KAUST and Cerebras Systems collaborated on multi-dimensional seismic processing using the Condor Galaxy AI supercomputer, achieving record sustained memory bandwidth of 92.58 petabytes per second. They developed a Tile Low-Rank Matrix-Vector Multiplication (TLR-MVM) kernel to exploit the architecture of Cerebras CS-2 systems. This work was recognized as a finalist for the 2023 Gordon Bell Prize. Why it matters: This demonstrates the potential of AI-customized architectures for seismic processing, with broader implications for climate modeling and other scientific domains in the region and globally.
G42's Inception has open-sourced Jais, a 13-billion parameter Arabic large language model (LLM). Jais was trained on a 395-billion-token Arabic and English dataset and outperforms existing Arabic models. The model is a collaboration between Inception, MBZUAI, and Cerebras Systems, and was trained on the Condor Galaxy supercomputer. Why it matters: This release establishes a new standard for Arabic language AI, providing over 400 million Arabic speakers access to generative AI and fostering innovation in the region.