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The one AI {Hardware} startup to appreciate income exceeding $100M has completed the primary section of Condor Galaxy 1 AI Supercomputer with associate G42 of the UAE. Different Cerebras prospects are sharing their CS-2 outcomes at Supercomputing ‘23, constructing momentum for the inventor of wafer-scale computing. This firm is on a tear.
4 quick months in the past, Cerebras announced essentially the most important deal any AI startup has been capable of assemble with associate G42 (Group42), a synthetic intelligence and cloud computing firm. The eventual 256 CS-2 wafer-scale nodes with 36 Exaflops of AI efficiency might be one of many world’s largest AI supercomputers, if not the most important.
Cerebras has now completed the primary knowledge heart implementation and began on the second. These two firms are shifting quick to capitalize on the $70B (2028) gold rush to face up Giant Language Mannequin providers to researchers and enterprises, particularly whereas the availability of NVIDIA H100 stays troublesome to acquire, creating a possibility for Cerebras. As well as, Cerebras has not too long ago introduced it has launched the most important Arabic Language Mannequin, the Jais30B with Core42 utilizing the CS-2, a platform designed to make the development of massive AI fashions accessible by eliminating the necessity to decompose and distribute the issue.
The Condor Galaxy 1 is now up and working.
Along with Cerebras’s progress on Condor Galaxy, the corporate and Argonne Nationwide Labs have introduced a 130-fold speedup over the NVIDIA A100 on a Monte Carlo particle simulation utility utilizing a CS-2 wafer-scale engine. One other CS-2 buyer, supercomputer heart Kaust, is a finalist for the distinguished Gordon Bell Award, to be introduced on Tuesday at SC’23.
Conclusions
After eight years of watching AI {hardware} startups come, fade, and go, it’s extremely satisfying to see one (alas, just one) succeed and land some dozen prospects, certainly one of them at a dedication stage exceeding maybe $800M. Others will certainly comply with G42 and undertake the wafer-scale expertise to construct the subsequent technology of AI. Momentum issues.
Disclosures: This text expresses the writer’s opinions and shouldn’t be taken as recommendation to buy from or spend money on the businesses talked about. Cambrian AI Analysis is lucky to have many, if not most, semiconductor corporations as our purchasers, together with Blaize, BrainChip, Cadence Design, Cerebras, D-Matrix, Eliyan, Esperanto, FuriosaAI, Graphcore, GML, IBM, Intel, Mythic, NVIDIA, Qualcomm Applied sciences, Si-5, SiMa.ai, Synopsys, Ventana Microsystems and Tenstorrent. We have now no funding positions in any of the businesses talked about on this article and don’t plan to provoke any within the close to future. For extra data, please go to our web site at https://cambrian-AI.com.
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