The global Hybrid Memory Cube (HMC) and High-Bandwidth Memory (HBM) market is projected to reach US$4.7 billion by 2025, driven by the blistering pace of growth of AI-assisted technologies, increase in AI workloads and the ensuing need for more memory in AI servers. Making data readily available for AI initiatives is key for successful AI projects and this requires data to be stored closer to the processing tasks to speed up data processing and deliver business value by providing timely and actionable insights. On an average, AI servers require over 8 times the amount of DRAM capacity and over three times the amount of SSDs when compared to a traditional server. This need for memory will only grow bigger and more urgent with the growth of deep learning, machine learning, expanding size of neural networks and emergence of newer and more complex neural networks such as Feedforward Neural Network, Radial basis function Neural Network, Kohonen Self Organizing Neural Network, Recu...