AI/ML relies on the efficient performance of several specific operations like matrix multiplication, dot products, tensor analysis, etc. Additionally, large bandwidth, high density, and low latency memory is necessary for storing intermediate results as they move between processing layers. Finally, fast and reliable interfaces are required for transferring data throughout systems. This article shows why AI/ML-based systems require memory and interconnect IP.

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