Abstract: Recently, computing-in-memory (CIM) macros, originally designed to reduce the intensive memory accesses of Al tasks, have been employed in low-power machine learning SoCs due to their ...
TL;DR: SK hynix's new 256GB DDR5 RDIMM server memory modules, based on 32Gb DRAM, are officially verified for Intel's Xeon 6 platform, delivering up to 16% better inference performance and 18% ...
The global memory crunch is reportedly squeezing Nvidia enough that it will reduce production of its RTX 50-series GPUs. As WCCFTech reports, citing the Chinese Board Channel forums, Nvidia could trim ...
Abstract: While neural networks (NNs) have achieved great results in various intelligent tasks like image classification and speech recognition, real-world scenarios have more applications beyond just ...
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