G42, the UAE-based technology holding group, and Cerebras Systems, the American pioneer in accelerating generative AI, have unveiled Condor Galaxy, a network of nine interconnected supercomputers, offering a new approach to AI computing that promises to significantly reduce AI model training time.
The first AI supercomputer on this network, Condor Galaxy 1 (CG-1), has 4 exaFLOPs and 54 million cores. Cerebras and G42 are planning to deploy two more such supercomputers, CG-2 and CG-3, in the US in early 2024. With a planned capacity of 36 exaFLOPs in total, this unprecedented supercomputing network will revolutionize the advancement of AI globally.
Located in Santa Clara, California, CG-1 links 64 Cerebras CS-2 systems together into a single, easy-to-use AI supercomputer, with an AI training capacity of 4 exaFLOPs. Cerebras and G42 offer CG-1 as a cloud service, allowing customers to enjoy the performance of an AI supercomputer without having to manage or distribute models over physical systems.
Talal Al Kaissi CEO – G42 Cloud
“Collaborating with Cerebras to rapidly deliver the world’s fastest AI training supercomputer and laying the foundation for interconnecting a constellation of these supercomputers across the world has been enormously exciting. This partnership brings together Cerebras’ extraordinary computing capabilities, together with G42’s multi-industry AI expertise. G42 and Cerebras’ shared vision is that Condor Galaxy will be used to address society’s most pressing challenges across healthcare, energy, climate action and more.”
CG-1 is the first time Cerebras has partnered not only to build a dedicated AI supercomputer but also to manage and operate it. CG-1 is designed to enable G42 and its cloud customers to train large, ground-breaking models quickly and easily, thereby accelerating innovation. The Cerebras-G42 strategic partnership has already advanced state-of-the-art AI models in Arabic bilingual chat, healthcare and climate studies.
“Delivering 4 exaFLOPs of AI compute at FP 16, CG-1 dramatically reduces AI training timelines while eliminating the pain of distributed computing. Many cloud companies have announced massive GPU clusters that cost billions of dollars to build, but that are extremely difficult to use. Distributing a single model over thousands of tiny GPUs takes months from dozens of people with rare expertise. CG-1 eliminates this challenge,” said Mr. Andrew Feldman, CEO of Cerebras Systems.
“Setting up a generative AI model takes minutes, not months and can be done by a single person. CG-1 is the first of three 4 exaFLOP AI supercomputers to be deployed across the U.S. Over the next year, together with G42, we plan to expand this deployment and stand up a staggering 36 exaFLOPs of efficient, purpose-built AI compute,” added Mr. Feldman.
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