Google Introduces New Services to the Cloud IoT Edge

he data generated from the internet of things (IoT) devices is set to exceed 40trillion GB by 2022. To cope with this recently Google has announced it would launch two new products to their cloud platform the Edge TPU, a new hardware chip, and Cloud IoT Edge, an expansion of the Google Cloud AI. The Edge TPU is a purpose-built ASIC chip designed by Google to run TensorFlow Lite ML models at the edge for running machine learning workloads written for its TensorFlow framework. This would lead to faster predictions in local processing and real-time along with reduced data privacy risks.

Cloud IoT Edge:-

Cloud IoT Edge the software that enhances Google Cloud’s powerful data processing and machine learning capabilities making IoT applications much intelligent, solid and secure.

How Cloud IoT Edge Works:-

How cloud IoT edge works lp1
Google Cloud Platform:- The Google cloud platform is an integrated software stack with ML abilities which consists of scalable, fully-managed cloud services for all your IoT needs. A full proof solution for data collection, processing, IoT data in real time to increase operational efficiency can be provided in combination with other services on the Google Cloud IoT platform using Cloud IoT Core.
Edge TPUs:- These are devised to augment the previous Cloud TPU offering, using it one can boost ML training in the cloud providing super-fast Machine Learning inference at the edge. Using EDGE TPU applied sensors will become more than data collectors-they will be able to make real-time, local, intelligent decisions. An Edge TPU development kit includes a SOM (System on module) which collectively utilizes the Google’s Edge TPU, an NXP CPU, Wi-FI, along with a Microchip secure element.

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