What is DeepSpeed?
It is a deep learning optimization library that makes distributed training easy, efficient, and effective. It can train DL models with over a hundred billion parameters on the current generation of GPU clusters while achieving over 5x in system performance compared to the state-of-art. Early adopters of DeepSpeed have already produced a language model (LM) with over 17B parameters called Turing-NLG, establishing a new SOTA in the LM category.
DeepSpeed is a tool in the Machine Learning Tools category of a tech stack.
DeepSpeed is an open source tool with 32.6K GitHub stars and 3.8K GitHub forks. Here’s a link to DeepSpeed's open source repository on GitHub
Who uses DeepSpeed?
Developers
9 developers on StackShare have stated that they use DeepSpeed.
DeepSpeed Integrations
DeepSpeed's Features
- Distributed Training with Mixed Precision
- Model Parallelism
- Memory and Bandwidth Optimizations
- Simplified training API
- Gradient Clipping
- Automatic loss scaling with mixed precision
- Simplified Data Loader
- Performance Analysis and Debugging
DeepSpeed Alternatives & Comparisons
What are some alternatives to DeepSpeed?
JavaScript
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Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
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jQuery
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