Distributed Training Framework
PyTorch
Horovod
NCCL
DeepSpeed
A scalable distributed training framework that supports both data and model parallelism. Implements various optimization techniques for training large models efficiently.
Features
- Pipeline parallelism implementation
- Zero Redundancy Optimizer (ZeRO) stages
- Custom communication patterns
- Automatic sharding strategies