This post details the beginning of Bloomberg’s journey to build a machine learning inference platform. For those readers who are less familiar with the technical concepts involved in machine learning ...
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“Compute-in-memory (CiM) has emerged as a compelling solution to alleviate high data movement costs in von Neumann machines. CiM can perform massively parallel general matrix multiplication (GEMM) ...
A rapid rise in the size and sophistication of inference models has necessitated increasingly powerful hardware deployed at the network edge and in endpoint devices. To keep these inference processors ...
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