Qualcomm’s Snapdragon 210 To Add Support For Google’s Android Things, Android Things Devices Get More Powerful And Better Connected [VIDEO]
ByIn December 2016, Google announced the Android Things, which is an operating system designed to make connected things more autonomous and more intelligent. Qualcomm also confirmed its close collaboration with the tech giant's new operating system.
Qualcomm's intention is to work actively on Android Things, an Android-based OS platform for smart devices and internet, which was developed by Google. Wherein, the Vice President of business development for Qualcomm Technologies Jeffery Torrance, stated that they are very pleased to add support for Android Things operating on Qualcomm's Snapdragon 210 processor. Torrance also said that they will deliver the exciting new development options to their IoT customers, according to Digital Trends.
Qualcomm believes that its processor with built in LTE will be the first to support the new IoT OS when the support officially launches. The American telecommunications equipment company plans to demonstrate Google's Android Things operating system running on a Snapdragon 210 at the Mobile World Congress (MWC) 2017 event. Nonetheless, the technology will not be officially geared up until later this year, Android Police reported.
Nevertheless, the Qualcomm Snapdragon 210 is a powerful processor, but announced by the tech company to be a cheaper system on chip (SoC). Currently, the Qualcomm Snapdragon 210 processor is found in low-end devices, such as the Microsoft Lumia 550 and the Acatel Pixi 4. In spite of that, the Snapdragon 210 does have the Qualcomm's X5 LTE modem for 4G LTE Advanced carrier aggregation, which makes the processor a good option for IoT devices outside a Wi-Fi network.
Furthermore, the Qualcomm Snapdragon 210 is packed with four ARM Cortex-A7 CPU cores with a clock rate of up to 1.1 GHz, an LPDDR2/LPDDR3 memory controller, an Adreno 304 graphics card, LTE Cat 4 radio module and an eMMC 4.5 port. The Snapdragon 210 is based on the Reduced Instruction Set Computing design strategy, which enables instructions to execute faster.
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