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Introducing Triton: Open-source GPU programming for neural networks

OpenAI just open-sourced the tool that lets any researcher write expert-level GPU code without CUDA knowledge.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Triton democratizes GPU programming for AI researchers, lowering the barrier to efficient model training and inference. This infrastructure move could reshape who can build competitive AI systems.

The key facts

6 to know
  1. Triton 1.0 released as open-source

  2. Python-like programming language for GPU code

  3. Eliminates need for CUDA expertise

  4. Performance parity with expert-written code

  5. Published by OpenAI

  6. July 28, 2021

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
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