DeepSpeed is a deep learning optimisation tool created for exceptionally large-scale and quick deep learning model training and inference. With billions to trillions of parameters, it enables users to train or make inferences on dense or sparse models. The library guarantees rapid scaling and high throughput across thousands of GPUs.
It is particularly appropriate for GPU systems with constrained resources. For inference tasks specifically, DeepSpeed also guarantees unmatched low latency and high throughput. Additionally, it provides extreme model compression to cut costs and inference latency while reducing model size.
- Deep learning researchers
- AI engineers
- Data scientists
- Machine learning practitioners
- Large-scale model trainers
- Inference optimization specialists
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