Leto: Fast In-Place Recovery for LLM Training on Surviving Hardware
cs.DC, cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/torvalds/linux
Sources
- Vidur: A Large-Scale Simulation Framework For LLM Inference
- Training Deep Nets with Sublinear Memory Cost
- LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- DeepSeek-V3 Technical Report
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- The Llama 3 Herd of Models
- Unicron: Economizing Self-Healing LLM Training at Scale
- A Study of BFLOAT16 for Deep Learning Training
- Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
- Adam: A Method for Stochastic Optimization
- Muon is Scalable for LLM Training
- gpt-oss-120b & gpt-oss-20b Model Card
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
- Kimi Linear: An Expressive, Efficient Attention Architecture
- Qwen3 Technical Report
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