1
Install DeepSpeed
Use pip to install DeepSpeed with `pip install deepspeed`.
2
Prepare Your PyTorch Model
Modify your PyTorch training script to integrate DeepSpeed APIs.
3
Configure DeepSpeed
Create a JSON config file specifying optimization settings like ZeRO stage and batch size.
4
Launch Distributed Training
Use the `deepspeed` launcher to start training across multiple GPUs or nodes.
5
Monitor and Tune
Use DeepSpeed logs and metrics to monitor training performance and adjust configurations as needed.