Hardware - TechnoScripts

hardware

How code meets the machine: bits and bytes, memory, CPUs, and GPUs, explained for developers with concrete, beginner-friendly examples.

CPU vs GPU vs TPU vs NPU: AI Hardware Explained Simply

Try to run a real AI model and CPU vs GPU vs TPU stops being trivia: it decides whether the model even loads. The marketing is loud and the plain explanation is rare, so this post is the plain explanation. You will learn why AI leans on massively parallel chips, why “does it fit?” matters before “is it fast?”, and exactly what hardware each stage of this series needs. “People who are really serious about software should make their own ... Read More

How to Choose Hardware for AI: Laptop, Colab, or Cloud GPU

The honest answer to what hardware for AI you need is the laptop already in front of you. That one line saves most beginners a few hundred dollars. Instead of arguing which chip is fastest, this guide matches each kind of AI work to the cheapest option that finishes it: your own CPU, free Colab, a rented cloud GPU, or an API and no hardware at all. “By far, the greatest danger of Artificial Intelligence is that people conclude too ... Read More

Jupyter Notebook and Google Colab: The Data Science Setup

A Jupyter notebook lets you write Python in small cells and run them one at a time, with each result appearing right under its code instead of at the end of a whole file. That tight feedback loop is why data science happens in notebooks. This post covers cells and the kernel, installing JupyterLab, Google Colab, magics, inline plots, and the out-of-order trap that bites almost every beginner. “A notebook is a lab bench, not a factory floor. You experiment ... Read More