SamosaCh.AI series #4 Scaling AI Infrastructure – Memory and Storage

Description

As AI models and datasets grow exponentially, scaling infrastructure, particularly memory and storage, becomes paramount. Challenges ranging from the handling of massive datasets to training large models to real-time processing to model deployment and inferencing require efficient storage and retrieval of model parameters and data. New techniques to handle the emergent data volumes and velocity, diversity of data, model complexity, data compression, etc., are being developed. Let us learn about the latest happenings in this field!