A Curated Paper List for Learning Distributed LLM Training and Inference
East-Muffin-6472 · reddit · 2026-09-26
- A Reddit user shares a minimal reading path for LLM distributed training and inference.
- Topics: data/distributed, tensor, pipeline, and model parallelism fundamentals.
- Includes a curated beginner-friendly paper collection (alphaxiv folder) and a reference repo, smolcluster (GitHub: YuvrajSingh-mist/smolcluster), with the author's own basic implementations.
- Suggested approach: read, code, and play; the repo is actively maintained.
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