Keywords
Description
Our application implements UltraRAM in GPU memory for Neural Networks (NN) training, unlocking a multitude of benefits. By leveraging UltraRam’s fast access times and non-volatility, we can significantly accelerate NN training processes. This acceleration, coupled with the increased memory size compared to current RAM, enables researchers to train larger and more complex NN models, leading to improved accuracy and performance in various current applications, and potentially unlocking new ones. Moreover, UltraRAM’s low energy consumption and reduced heat generation translate to cost savings and improved thermal management, contributing to more energy-efficient and sustainable AI systems.
