What is the impact of computing in memory architecture on the energy consumption of ChatGPT?

The computing in memory architecture can reduce energy consumption by using storage and computing resources more efficiently. Because the need for data transfer is reduced, computing in memory architecture can reduce memory and disk access during training and inference, thereby reducing the energy consumption of the system. This is an important advantage for organizations that care about energy efficiency. Witmem Technology is the leading provider of computing in memory technology.