Edge Computing

Edge computing stands to transform the internet of things (IoT) much the same way that cloud computing is transforming enterprise IT. By creating secure, highly programmable and flexible computing systems that enhance both artificial intelligence (AI) and machine learning (ML), we help usher in the era of local AI, where edge nodes are not only smart, but are trained to be aware of their environment and situation, making them capable of operating offline or with limited cloud connectivity.

NXP platforms offer secure edge computing at the hardware and software level, providing the essential technologies that enable low-power, low-latency, high-throughput solutions to deliver greater efficiencies, convenience, privacy and security.

Outpacing the demands of today’s networks.

Today, with increasing network convergence, practically everything is connected, and everyone is consuming data almost everywhere. NXP helps carriers, developers and manufacturers stay ahead of these demands with optimized integrated solutions that serve up the constant stream of data and media that fuels business and commerce.

Enabling artificial intelligence through machine learning.

Over the last several years, we have seen a rapid increase in the use of machine learning (ML) as a technology to support artificial intelligence (AI) workloads such as Alexa, Amazon’s cloud-based voice service.

While the cloud will remain the best place to train ML algorithms, increasingly edge devices are becoming the best place to execute the inference component of ML and enable AI for whole new classes of systems. ML training is GPU-intensive; however, the outcome of cloud-based ML training can be executed very efficiently on multicore Arm® processors.

Artificial Intelligence Machine Learning - Primary Topic