TurboGPT: train 22KiB transformer in 13s
Train a tiny GPT in under a minute (CUDA only). Contribute to lostmsu/TurboGPT development by creating an account on GitHub.
TurboGPT: train 22KiB transformer in 13s launched on September 29, 2026 with 56 votes, #649 of 8,097 launches that month and more than 95% of that year's launches.
In plain words
TurboGPT is a tool that trains a small GPT transformer model in under a minute using CUDA acceleration. It is designed for developers and researchers who want to quickly experiment with transformer training. The project is hosted on GitHub where users can contribute to its development.
written from the facts on this page · September 2026
Does a similar job
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less than 650 LOC trainable GPT only using NumPy2023 · github.com · ▲90Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines). - joennlae/tensorli
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very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them.
GPT-2 implemented using graphics shaders2025 · github.com · ▲228Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!

Flash Attention in ~100 lines of CUDA2024 · github.com · ▲230Flash Attention in ~100 lines of CUDA (forward pass only) - tspeterkim/flash-attention-minimal
- IMI made a GPU VRAM calculator for transformer-based models2023 · vram.asmirnov.xyz · ▲135
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