Triton

Live Poker Match!: The Besties Vs. Phil Hellmuth, Alan Keating, and Jason Koon

All-In Podcast

A poker tournament organizer known for its VIP experience and typically two-day events, though players wish for earlier finishes.

Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI

Latent Space

An OpenAI project that PyTorch depends on, indicating PyTorch's willingness to use external, well-integrated dependencies.

The End of Finetuning — with Jeremy Howard of Fast.ai

Latent Space

A programming language that helps in writing GPU-optimized code, making innovations like FlashAttention more accessible.

Ep 18: Petaflops to the People — with George Hotz of tinycorp

Latent Space

Triton is mentioned as a technology PyTorch is using to generate kernels on the fly.

⚡️ Beyond Transformers with Power Retention

Latent Space

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization

Stanford Online

A programming language or framework where students will implement kernels for Assignment 2.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 6: Kernels, Triton, XLA

Stanford Online

A programming language for writing GPU kernels, presented as a more accessible alternative to CUDA for complex operations like matrix multiplication and softmax.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Guest Lecture: Dan Fu

Stanford Online

Mentioned as a comparison point for the Thunderkittens library, indicating a similar but more low-level functionality.