ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed
1:05:09
Microsoft
ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. With the goal of advancing large model training by improving scale, speed, cost, and usability for model developers across the world, Microsoft made the ...
Aug 6, 2020
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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
MicrosoftAlexis Hagen
Feb 10, 2020
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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ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters
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Feb 10, 2020
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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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