Free Lesson
Introduction to GPUs and the CUDA Programming Model
30 min
Sep 25, 2026 10:30 PM
What you'll learn
Explain when GPUs help—and when they do not
Compare CPU and GPU execution and identify work that benefits from parallelism.
Map a problem to CUDA threads, blocks and grids
Understand thread indexing and how the CUDA hierarchy assigns parallel work to data.
Read your first CUDA vector-addition kernel
Trace a kernel launch, global thread index and bounds check; see how outputs are verified.
Why this topic matters
GPUs power modern AI, but using a GPU library is different from understanding how its work runs. Build a clear mental model of CUDA threads, blocks and grids, then trace a simple vector-addition kernel. This free introduction helps Python and PyTorch users take their first step toward writing GPU kernels. No prior CUDA experience is required.
