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HBM2E Raises the Bar for Memory Bandwidth

April 30, 2021

AI/ML training capabilities are growing at a rate of 10X per year driving rapid improvements in every aspect of computing hardware and software. HBM2E memory is the ideal solution for the high bandwidth requirements of AI/ML training but entails additional design considerations given its 2.5D architecture. Designers can realize the full benefits of HBM2E memory with the silicon-proven memory subsystem solution from Rambus.

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Evolution of HBM standard to HBM2E
Design challenges and considerations
Features of Rambus HBM2E memory subsystem

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