Machine learning is computationally and memory intensive. AI capabilities, for example, have increased by a factor of 300,000 from 2012 to 2019, a doubling every 3.43 months, says Rambus.
Memory requirements likewise will grow with use of AI. Advanced driver-assistance systems will require memory bandwidths exceeding 200 GB/s, says Rambus.
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