FareedKhan-dev/small-gpu
Building a Tiny GPU to understand AI hardware engineering
This project helps AI engineers understand how the core components of a Graphics Processing Unit (GPU) function at a fundamental hardware level. By designing a "tiny GPU" virtually, you can see how instructions and data flow through compute cores, memory controllers, and schedulers. It's for AI systems engineers, machine learning engineers, or anyone wanting to bridge the gap between software and the underlying silicon that executes AI workloads.
Use this if you are an AI engineer who wants to understand the hardware principles behind GPUs, not just use them as a black box.
Not ideal if you are looking for a project to build physical hardware or to optimize existing PyTorch models without delving into hardware architecture.
Stars
46
Forks
9
Language
SystemVerilog
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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