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Show HN: TurboGPT: train 22KiB transformer in 13s

Updated September 30, 2026 · 12:02 AM · 2 · source date September 29, 2026

Summary

Show HN: TurboGPT: train 22KiB transformer in 13s Build Windows, Visual Studio 2022 C++ tools, and CUDA 13.4: .\build.ps1 - CudaArch 86 CudaArch is the GPU compute capability from NVIDIA's CUDA GPU list . Run .\build\ turbogpt.exe -- data hn1g.txt -- log - to runs / ctx4 The run stores its checkpoint at runs/ctx4/ctx4.pt , containing model, optimizer, scheduler, and trainer state.

Why it matters

This Other is relevant to the technology intelligence record because it involves NVIDIA, GPT-training, GPT-in. The source article should remain the factual reference for follow-up coverage.

Key facts
  • Build Windows, Visual Studio 2022 C++ tools, and CUDA 13.4: .\build.ps1 - CudaArch 86 CudaArch is the GPU compute capability from NVIDIA's CUDA GPU list .
  • Run .\build\ turbogpt.exe -- data hn1g.txt -- log - to runs / ctx4 The run stores its checkpoint at runs/ctx4/ctx4.pt , containing model, optimizer, scheduler, and trainer state.
  • Use --load CHECKPOINT.pt to resume it.
  • runs/ctx4/report.json is derived from the log directory.
  • Logs are TensorBoard-compatible: one report per batch, capped at 8Mi reports, and flushed with periodic or final checkpoints.
  • Result hn1g after 1.5G training tokens: 2.52435 BPB .
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