Google releases TensorFlow Enterprise

Google releases TensorFlow Enterprise

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Google has announced the TensorFlow Enterprise, a cloud-based TensorFlow machine learning service that consists of enterprise-grade support and managed services.  

TensorFlow, an open-source artificial intelligence framework, developed for machine learning models, deep learning models, and other statistical and predictive analytics workloads. Google has released a beta version for enterprises, including enterprise-class support, managed services, and scalability.

The Public cloud Service provider positions TensorFlow Enterprise as a service to assist data scientists to accelerate the development of machine learning and deep learning models on their cloud platform. In addition, these models can be tested and scaled on the Google Cloud platform because TensorFlow Enterprise includes Deep Learning VMs (GA) and Deep Learning Containers (Beta). 

Furthermore, TensorFlow Enterprise provides access to a variety of managed services in Google Cloud, including Google Kubernetes Engine (GKE) and the Google AI Platform.

Other key features can be summarized as follows:

  • Security updates and bug fixes will be valid for up to 3 years as part of their long-term support.
  • White-glove services for customers to support current use cases and their AI challenges
  • Enterprise-ready and performance optimization through containers and virtual machines.
  • Automate the deployment and optimization of resources over CPUs, GPUs, and Cloud TPUs.

The TensorFlow framework streamlines the process of gathering data, training models, estimating services, and refining future results. For instance, training algorithms for image recognition & recurrent neural networks for machine translation and natural language processing. TensorFlow Enterprise customers can benefit from TensorFlow Enterprise by leveraging the TensorFlow Enterprise distribution on the AI ​​platform, the AI ​​Deep Learning platform, and the Deep Learning VM platform image.

A free trial of TensorFlow Enterprise that is currently in beta stage,  can be accessed by users via the Google Cloud website. 

Deepali

Deepali Kulshrestha

Salesforce Certified Developer | Delivery Management Head
"Deepali, a certified Salesforce Advanced Administrator and Salesforce Developer and CSPO Certified at Cloud Analogy, is a successful name in the industry circles when it comes to the delivery of successful projects with end-to-end testing. Deepali is a globally-renowned industry stalwart when it comes to managing Operations & Delivery Planning in driving Business Performance Management. Over the years, she has also demonstrated great leadership qualities in the context of Organizational Development & Change Management / Transformation, Delivery Planning & Management, Resource & technology pool management, and driving end-to-end Business Process Excellence and Organizational Transformation. Deepali is the Women-In-Tech (WIT) leader, Faridabad Region of Salesforce apart from being an active leader in a wide range of other socio-economic activities and events."

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