INSUBCONTINENT EXCLUSIVE:
Google open-sourced its TensorFlow machine learning framework back in 2015 and it quickly became one of the most popular platforms of its
Enterprises that wanted to use it, however, had to either work with third parties or do it themselves
To help these companies — and capture some of this lucrative market itself — Google is launching TensorFlow Enterprise, which includes
hands-on, enterprise-grade support and optimized managed services on Google Cloud.
One of the most important features of TensorFlow
Enterprise is that it will offer long-term support
For some versions of the framework, Google will offer patches for up to three years
For what looks to be an additional fee, Google will also offer to companies that are building AI models engineering assistance from its
Google Cloud and TensorFlow teams.
All of this, of course, is deeply integrated with Google own cloud services
&Because Google created and open-sourced TensorFlow, Google Cloud is uniquely positioned to offer support and insights directly from the
TensorFlow team itself,& the company writes in today announcement
&Combined with our deep expertise in AI and machine learning, this makes TensorFlow Enterprise the best way to run TensorFlow.&
Google also
includes Deep Learning VMs and Deep Learning Containers to make getting started with TensorFlow easier, and the company has optimized the
enterprise version for Nvidia GPUs and Google own Cloud TPUs.
Today launch is yet another example of Google Cloud focus on enterprises, a
move the company accelerated when it hired Thomas Kurian to run the Cloud businesses
After years of mostly ignoring the enterprise, the company is now clearly looking at what enterprises are struggling with and how it can
adapt its products for them.
