ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters
ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters
Feb 10, 2020
MicrosoftAlexis Hagen
Announcing ZeRO-2 from Microsoft, new memory optimizations in DeepSpeed for training large-scale deep learning models. DeepSpeed trains 100B parameter models 10x faster than state-of-the-art. Learn how DeepSpeed sets a BERT training record: https://aka.ms/AA8i33u | Microsoft Research
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Announcing ZeRO-2 from Microsoft, new memory optimizations in DeepSpeed for training large-scale deep learning models. DeepSpeed trains 100B parameter models 10x faster than state-of-the-art. Learn how DeepSpeed sets a BERT training record: https://aka.ms/AA8i33u | Microsoft Research
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Microsoft systems researchers and engineers release Zero Redundancy Optimizer (ZeRO) and DeepSpeed library, a system able to train 100-billion-parameter deep learning models. Learn more about the breakthrough and how it led to Turing Natural Language Generation: https://aka.ms/AA79z36 | Microsoft Research
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Microsoft systems researchers and engineers release Zero Redundancy Optimizer (ZeRO) and DeepSpeed library, a system able to train 100-billion-parameter deep learning models. Learn more about the breakthrough and how it led to Turing Natural Language Generation: https://aka.ms/AA79z36 | Microsoft Research
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With just a few lines of code changes in PyTorch, DeepSpeed can optimize for performance challenges in deep learning model training. Join the team for a webinar to see how these minimal changes lead to faster training speeds at larger scales. Register now: https://aka.ms/AA9skqf | Microsoft Research
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