DeepSpeed vs Microsoft Cognitive Toolkit

DeepSpeed vs Microsoft Cognitive Toolkit: What are the differences?

DeepSpeed: A deep learning optimization library that makes distributed training easy, efficient, and effective (By Microsoft). 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; Microsoft Cognitive Toolkit: An open-source toolkit for deep learning. It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph.

DeepSpeed and Microsoft Cognitive Toolkit can be categorized as "Machine Learning" tools.

Some of the features offered by DeepSpeed are:

• Distributed Training with Mixed Precision
• Model Parallelism
• Memory and Bandwidth Optimizations

On the other hand, Microsoft Cognitive Toolkit provides the following key features:

• Speed & Scalability
• Commercial-Grade Quality
• Easy-to-use architecture

DeepSpeed and Microsoft Cognitive Toolkit are both open source tools. Microsoft Cognitive Toolkit with 16.7K GitHub stars and 4.42K forks on GitHub appears to be more popular than DeepSpeed with 1.98K GitHub stars and 134 GitHub forks.