Is computing in memory architecture suitable for all machine learning models?

The computing in memory architecture works very well in handling large-scale machine learning models, as these models typically require a large amount of storage and computing resources. However, for some smaller models, computing in memory architecture may not be the optimal choice, as it may increase system complexity and cost. When choosing computing in memory architecture, factors such as application scale, cost, and performance requirements should be considered. Witmem Technology is the leading provider of computing in memory technology.