Technology Front
Intel Announces the Atom E3900 Series for IoT Applications
Published: Oct 26,2016249 Read
Intel announced the Intel Atom processor E3900 series (Apollo Lake). Jonathan Ballon introduced the new processor as part of his keynote at the IoT Solutions World Congress in Barcelona.
Intel Steps up Hiring in Taiwan to Secure Semiconductor Chips supply Chain for PC Partners
Intel Corporation (Intel) is ramping up hiring activity globally but more so in Taiwan. The move forms part of Intel’s...
Intel and MediaTek Partner to Deliver 5G on the PC
Intel is partnering with Taiwan’s MediaTek on the development, certification and support of 5G modem solutions for the next generation of PC experiences...
Intel supports the expansion of the Internet of Things (IoT) and the need for intelligence at the edge with the latest generation of Intel’s 3900 processor series. The product is the culmination of Intel’s years of leadership, collaborations and investments in the IoT space.
With more than 1.7 times more computing power over the previous generation1, the E3900 Series is designed to enable faster memory speeds and memory bandwidth to provide the efficient processing capability needed for edge to cloud network computing.
Built into a compact flip chip ball grid array (FCBGA) and featuring 14 nanometer silicon technology, the Intel Atom processor E3900 series is perfect for a wide range of IoT applications, where scalable performance, space and power are at a premium.
Intel said that the Intel Atom processor E3900 series will make the edge and fog more intelligent – enabling many of the processing needs to take place at or near the data sensor and alleviating the need to push all processing to the data center. Fog computing, also known as fog networking, is a decentralized computing infrastructure in which computing resources and application services are distributed in the most logical place at any point from the data source to the cloud.
As an example, consider traffic cams and sensor data. There are significant downsides to sending data to a server for analysis, such as loss due to video compression and time spent in travel, versus having the ability to process data at the device. In the automotive industry, the software-defined cockpit is also where this edge computing capability can make a difference.
The ability for a single system to drive the digital gauges, navigation, and advance driver assist functions is the trend. It is important that backup sensors, bird’s-eye view parking or side collision alter function in a reliable response time, regardless of what the media or navigation system is doing at that time.