Skip to content
AI News HubLIVE
More
Summary only

Show HN: Profine – Profile and rewrite your PyTorch training loop on real GPUs

Profine is a CLI tool that profiles PyTorch code on real GPUs, suggests optimizations, and automatically rewrites the training loop. It uses a six-step pipeline (read, profile, interpret, suggest, edit, benchmark) and achieved a 3.11x speedup and 68.7% memory reduction on minGPT. Requires a Modal account and an LLM provider.

SourceHacker News AIAuthor: aisinghal
Show HN: Profine – Profile and rewrite your PyTorch training loop on real GPUs
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions

Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersAdvanced

Key points

  • Profine automates profiling and optimization of PyTorch training loops.
  • It uses a six-step pipeline: read, profile, interpret, suggest, edit, benchmark.
  • Achieved 3.11x speedup and 68.7% memory reduction on minGPT.
  • Supports multiple LLM providers (OpenAI, Anthropic, local) and hardware presets.

Highlights and analysis are generated automatically and may contain errors. Check the original source.