Cerebras Systems and G42, a tech holding group, have unveiled their Condor Galaxy project, a network of nine interlinked supercomputers for AI model training with aggregated performance of 36 FP16 ExaFLOPs. The first supercomputer, named Condor Galaxy 1 (CG-1), boasts 4 ExaFLOPs of FP16 performance and 54 million cores. CG-2 and CG-3 will be located in the U.S. and will follow in 2024. The remaining systems will be located across the globe and the total cost of the project will be over $900 million. The CG-1 supercomputer, situated in Santa Clara, California, combines 64 Cerebras CS-2 systems into a single user-friendly AI supercomputer, capable of providing 4 ExaFLOPs of dense, systolic FP16 compute for AI training. Based around Cerebras's 2.6 trillion transistor second-generation wafer scale...

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