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AI agents running research on single-GPU nanochat training automatically

662 starsPython

Run autoresearch on a gaming PC (Windows and RTX GPUs fork)

by segov·Mar 9, 2026·2 points·0 comments
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AI Analysis

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Windows support for Karpathy's autoresearch without unofficial Triton stacks.

Strengths
  • •Strips Linux dependencies to simplify runtime for consumer RTX cards.
  • •Enables overnight autonomous experimentation on hardware people actually own.
  • •Keeps the core nanochat training loop intact for valid benchmarking.
Weaknesses
  • •Requires 10 GB VRAM minimum, excluding many older gaming GPUs.
  • •Forked model means diverging from upstream updates unless merged back.
Category
AI/ML
Target Audience

Windows developers with gaming PCs, AI hobbyists

Similar To

karpathy/autoresearch · OpenHands · Devika

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