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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.

Users object:

  • Deep learning researchers
  • AI engineers
  • Data scientists
  • Machine learning practitioners
  • Large-scale model trainers
  • Inference optimization specialists

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Francesco Chiaramonte

Francesco Chiaramonte is renowned for over 10 years of experience, from machine learning to AI entrepreneurship. He shares knowledge and is committed to advancing artificial intelligence, hoping that AI will drive societal progress.