Most chipmakers take a silicon wafer and cut it into hundreds of separate chips. Cerebras keeps a large square of it in one piece. The result, the Wafer-Scale Engine, holds about 4 trillion transistors, roughly 900,000 active cores and 44GB of very fast memory placed right next to the compute. The reason is distance. When an AI model writes an answer, it produces one token at a time, and every step needs data from memory. In conventional systems that data keeps travelling between chips, memory
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