DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Enables efficient distributed training of large-scale deep learning models.
Optimizes memory usage and training speed with advanced techniques like ZeRO optimization.
Supports integration with popular frameworks such as PyTorch for seamless adoption.
Training Large Language Models
Researchers need to train transformer-based language models with billions of parameters efficiently.
Accelerating Model Prototyping
Developers want to quickly iterate on model architectures without waiting for long training times.
Resource-Efficient Distributed Training
Organizations aim to maximize GPU utilization and reduce costs during large-scale model training.
Scaling Transformer Models for Production
AI teams need to deploy large transformer models in production environments with limited hardware.
pip install deepspeed.deepspeed launcher to start training across multiple GPUs or nodes.