gpu-mode/Triton-Puzzles resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2572 stars · 252 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A set of interactive Jupyter notebook puzzles for learning the Triton GPU programming language from first principles. The puzzles run via a Triton interpreter without needing a GPU, progressing from basics to real algorithms like Flash Attention and quantized neural networks.

Use cases

• learn Triton GPU programming interactively
• practice writing GPU kernels without a GPU
• understand memory loading and storage in Triton
• implement Flash Attention as a learning exercise
• teach accelerator programming from first principles
• prepare for GPU kernel optimization work

When to choose

• you want a hands-on, interactive way to learn Triton
• you don't have GPU hardware but want to learn GPU programming
• you prefer puzzle-based learning with progressive difficulty
• you already know NumPy or PyTorch and want to move toward low-level kernels

When to avoid

• you need production Triton kernel code for a real project
• you want comprehensive Triton documentation rather than exercises
• you are looking for CUDA or other GPU language tutorials
• you need a maintained software library or tool

Facets

learning-resource · maturity active

machine-learning gpu-computing machine-learning gpu-computing tutorials python cross-platform triton puzzles jupyter-notebook gpu-programming interactive-learning flash-attention kernel-development education gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gpu-mode/Triton-Puzzles")