Google Makes It Easier To Take Machine Learning Models Into Production

Google launched TensorFlow Serving today, a new open source project that aims to help developers take their machine learning models into production. Unsurprisingly, TensorFlow Serving is optimized for Google’s own TensorFlow machine learning library, but the company says it can also be extended to support other models and data.While projects like TensorFlow make it easier to build machine learning algorithms and train them for certain types of data inputs, TensorFlow Serving specializes in making these models usable in production environments. Developers train their models using TensorFlow and then use TensorFlow Serving’s APIs to react to input from a client. Google also notes that TensorFlow Serving can make use of available GPU resources on a machine to speed up processing. As Google notes, having a system like this in place doesn’t just mean developers can take…


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