DeepSpeed is an open source deep learning optimization library for PyTorch.
Library
The library is designed to reduce computing power and
memory usage and to train large distributed models with better parallelism on existing computer hardware.
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.
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
MIT License and available on
GitHub.
The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication.
See also
Further reading
External links
