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

Neural network, Dive Deeper

Continuation from here . What discussed so far how micro services helps implementing server-less architecture for Neural network based architecture. In this article I will talk few interesting topics like parallel computing, how ML library tools helps implementing smart resource management, and finish by giving a touch hardware solutions from NVIDIA helps accelerating ML progress.… Continue reading Neural network, Dive Deeper

Serverless Computing and AI/ML — Balancing Performance, Cost, and Sustainability

In this post, I’d like to share some thoughts on serverless computing, especially in the context of AI/ML. I’ve kept the content light on technical jargon so it’s easier to follow, even if you’re not deeply familiar with these concepts. Feel free to comment and share your thoughts! Running powerful computing systems isn’t just about… Continue reading Serverless Computing and AI/ML — Balancing Performance, Cost, and Sustainability