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A free and open-source instruction set architecture (ISA) is quietly gaining momentum and could well power a significant number of the estimated 25 billion AI chips that will be produced in 2027, according to a new report on IEEE Spectrum.

Designed at UC Berkeley in 2010, the RISC-V is based on reduced instruction set computer (RISC) principles. But why is it suited for AI, and what is fueling the growing interest in this relatively new architecture?

Read the full report. 

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