Building a dinner-plate-sized processor like Cerebras offers immense power but sacrifices the modularity and cost-efficiency of scaling standard GPU clusters. Committing to such a massive, monolithic piece of hardware means losing the flexibility to easily scale down or swap… pic.twitter.com/7ZD3pEtcah

— Satya Mallick (@LearnOpenCV) 30 mars 2026

Building a dinner-plate-sized processor like Cerebras offers immense power but sacrifices the modularity and cost-efficiency of scaling standard GPU clusters. Committing to such a massive, monolithic piece of hardware means losing the flexibility to easily scale down or swap

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