🌌 The Ultra-Scale Playbook¶
The ultimate guide to training LLM on large GPU Clusters
This comprehensive book covers everything about scaling LLMs in 2025, including:
- Memory optimization techniques for training large models
- Data Parallelism and ZeRO optimization
- Tensor Parallelism for model splitting
- Context Parallelism with Ring Attention
- Pipeline Parallelism for efficient distributed training
- Expert Parallelism for MoE models
- 5D Parallelism strategies
- GPU optimization techniques
📚 Chapters¶
- High-Level Overview
- First Steps: Training on One GPU
- Data Parallelism
- Tensor Parallelism
- Context Parallelism
- Pipeline Parallelism
- Expert Parallelism
- 5D Parallelism in a Nutshell
- Finding the Best Training Configuration
- Diving into the GPUs – Fusing, Threading, and Mixing
- Conclusion
- References
- Appendix
📖 Source¶
Original content from Hugging Face - The Ultra-Scale Playbook