DeepSpeed

The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware.^[2][3] DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters.^[4] Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under Apache License and available on GitHub.^[5]

The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication.^[6]

• Comparison of deep learning software
• Deep learning
• Machine learning
• TensorFlow

1. ^ "Microsoft Updates Windows, Azure Tools with an Eye on The Future". PCMag UK. May 22, 2020.
2. ^ Yegulalp, Serdar (February 10, 2020). "Microsoft speeds up PyTorch with DeepSpeed". InfoWorld.
3. ^ "Microsoft unveils "fifth most powerful" supercomputer in the world". Neowin. 18 June 2023.
4. ^ "Microsoft trains world's largest Transformer language model". February 10, 2020.
5. ^ "microsoft/DeepSpeed". July 10, 2020 – via GitHub.
6. ^ "DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression". Microsoft Research. 2021-05-24. Retrieved 2021-06-19.

• Rajbhandari, Samyam; Rasley, Jeff; Ruwase, Olatunji; He, Yuxiong (2019). "ZeRO: Memory Optimization Towards Training A Trillion Parameter Models". arXiv:1910.02054 [cs.LG].

• Official website