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Description
Modern computing needs are the impetus behind the rise of distributed computing. Distributed computing comprises various resources across multiple locations that collect, process, store, and transmit data while providing security measures to help prevent unauthorized access or manipulation. While it’s not a new paradigm, distributed computing is on the rise due to advances in AI and the growth of data outside the data center. That’s because distributed computing provides the flexibility to run inferencing on AI models at the most optimal location, often the edge, while also supporting the large datasets used in AI training to develop and optimize those models. Organizations now have the unprecedented freedom to convert data into useful information where it’s most advantageous for the end user, all while enhancing cost efficiency, improving performance, and expanding network capacity.