Uber Open-Sources Fiber - A New Library For Distributed Machine Learning

Latest technologies such as machine learning and deep learning require a colossal amount of data to improve its outcomes' accuracy. However, it is nearly impossible for a local computer to process the vast amount of data. As a result, practitioners use distributed computing for obtaining high-computational power to deliver quick and accurate results. However, effectively managing distributed computation is not straightforward, and this causes hindrance in training and evaluating AI models. To address these challenges, Uber has open-sourced its Fiber framework to help researchers and developers streamline their large-scale parallel scientific computation.