Lilly Tech Systems
Distributed Training Architecture
Scale model training with data parallelism, model parallelism, pipeline parallelism, DeepSpeed, and FSDP.
Course Lessons
Follow these lessons in order for a complete understanding of distributed training architecture.
1. Distributed Training Overview
Learn about distributed training overview in the context of distributed training architecture.
2. Data Parallelism
Learn about data parallelism in the context of distributed training architecture.
3. Model Parallelism
Learn about model parallelism in the context of distributed training architecture.
4. Pipeline Parallelism
Learn about pipeline parallelism in the context of distributed training architecture.
5. DeepSpeed and FSDP
Learn about deepspeed and fsdp in the context of distributed training architecture.
6. Communication Optimization
Learn about communication optimization in the context of distributed training architecture.
7. Distributed Training Infrastructure
Learn about distributed training infrastructure in the context of distributed training architecture.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define distributed training architecture.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.