Atlas · GenAI 2026
Distributed Training
Distributed training (DeepSpeed, FSDP, Megatron-LM)
conceptPeak: 2023Training InfrastructureAI consensus: 2/3
Prerequisites
- hardDeep Learning
Distributed training parallelizes neural network training — you must understand single-GPU training before distributing it
- hardPyTorch
DeepSpeed and FSDP are PyTorch extensions — PyTorch proficiency is a practical prerequisite
Recommended reference
deepspeed.ai/docs — DeepSpeed docs; plus Rasley et al. (2020) 'DeepSpeed: System Optimizations Enable Training DL Models with Over 100 Billion Parameters'
Notes from AI deep research
Anthropic Opus
DeepSpeed ZeRO, FSDP, Megatron-LM. Konieczne dla CPT i >7B modeli. TW Radar: Assess
Google Deep Think
Dzielenie wag po klastrach [G#69]
Related skills
- → is part of: LLM Fine-Tuning(3/3)
- → is part of: Model Fine-Tuning(2/3)
- ← is subcategory of: Federated Learning(0/3)