Energy, Cost, and Performance: Rethinking Data Center Design

Data centers consume a massive amount of energy, and this demand is growing rapidly as facilities are increasingly designed to support AI and GPU-heavy workloads. Decisions made early—during design and planning—have long-term consequences. Good choices can save energy, money, and operational headaches, while poor ones often lock in inefficiencies that are difficult and expensive to… Continue reading Energy, Cost, and Performance: Rethinking Data Center Design

Hardware role for ML

Continuation from here https://joyantablog.wordpress.com/2025/04/08/neural-network-dive-deeper/ Let’s continue exploring the hardware magic behind long machine learning tasks like training and inference. In my previous post, I discussed how tools like TensorFlow and PyTorch offload resource management and expose optimal approaches through libraries and APIs. This enables you to focus on understanding the methods and functionalities, applying them… Continue reading Hardware role for ML