Google launches TensorFlow Enterprise with long-term support and managed services

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Google two open-sourced its TensorFlow desktop getting to know framework lower back in 2015 and it quickly grew to become one of the most popular platforms of its kind. Enterprises that wanted to use it, however, had to either work with 1/3 parties or do it themselves. To assist these groups — and capture some of this lucrative market itself — Google is launching TensorFlow Enterprise, which consists of hands-on, enterprise-grade guide and optimized managed offerings on Google Cloud.

One of the most essential points of TensorFlow Enterprise is that it will offer long-term support. For some variations of the framework, Google will offer patches for up to three years. For what appears to be an additional fee, Google will also offer to organizations that are constructing AI fashions engineering help from its Google Cloud and TensorFlow teams.

All of this, of course, is deeply integrated with Google’s personal cloud services. “Because Google created and open-sourced TensorFlow, Google Cloud is uniquely positioned to offer guide and insights directly from the TensorFlow crew itself,” the agency writes in today’s announcement. “Combined with our deep knowledge in AI and laptop learning, this makes TensorFlow Enterprise the satisfactory way to run TensorFlow.”

Google additionally includes Deep Learning VMs and Deep Learning Containers to make getting started with TensorFlow easier, and the organization has optimized the employer model for Nvidia GPUs and Google’s personal Cloud TPUs.

Today’s launch is but another instance of Google Cloud’s center of attention on enterprises, a move the organisation accelerated when it hired Thomas Kurian to run the Cloud businesses. After years of on the whole ignoring the enterprise, the business enterprise is now honestly looking at what agencies are struggling with and how it can adapt its products for them.

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