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?