by Amit Shekhar · 3 July 2026
How does a GPU work for Deep Learning?
How a GPU works for Deep Learning. We will also see why the GPU is perfect for deep learning, how they do so much math at the same time, and why companies like NVIDIA power almost all of modern AI.
Read on Outcome School ↗then come back to lock it in
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What this article covers
- What is a GPU?
- Why is the GPU perfect for deep learning?
- CPU vs GPU
- The math professor and the thousands of students
- Why deep learning is mostly matrix multiplication
- Serial work vs parallel work
- GPU memory (VRAM) and memory bandwidth
- Why the model must fit in VRAM
- Tensor Cores and lower precision (FP16, BF16, INT8)
- CUDA and the software stack (cuDNN)
- Training vs inference on GPUs
- Multiple GPUs working together
- Why NVIDIA GPUs power modern AI
The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.