Microsoft’s AI Toolkit Gains Multi-GPU Performance Jump

The company’s open-source Computational Network Toolkit (CNTK) can now better exploit the parallel-processing capabilities of multi-GPU systems. Microsoft’s Computational Network Toolkit (CNTK) 1.5, announced June 10, features a new method of wrangling the parallel-processing power of multiple graphical processing units (GPUs), such as those from Nvidia, to improve the software’s deep-learning capabilities.Microsoft originally released CNTK in late January on GitHub, the popular online code repository.  CNTK is an open-source software toolkit intended to help developers create deep-learning models that they can apply to artificial intelligence (AI) systems that understand speech and interpret images.The update that was announced June 10 provides a major performance boost.CNTK 1.5 features a new parallel-processing technique called Block Momentum that improves the scalability of the software’s machine-learning capabilities while maintaining accuracy. According to a chart on…


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