Introducing Triton: Open-source GPU programming for neural networks

Triton is introduced as an open-source framework for writing high-performance GPU kernels for neural network workloads.

The article uses a tiled matrix multiplication example with block grouping, accumulation, and optional fused activation.

This Python-like approach makes custom GPU code easier to write and tune than low-level CUDA.

Triton aims to improve performance while giving developers more flexibility for neural network operations.