Meiji Chang, General Manager and Co-Founder of QNAP Systems joins Intel Chip Chat Network Insights in this archive of a livecast interview from the Intel Network Builders Summit in conjunction with SDN & NFV World Congress in The Hague, Netherlands. With the era of 5G approaching, we see there will be more and more use cases happening at both On-premise Edge and Network Edge. Meiji shares how QNAP will enable an intelligent uCPE with AI use case for small and medium business enterprise with ability to process multiple workloads (AI, media, networking) with a single device at the edge. To meet the rising demand of 5G converged workload platforms in the edge of cloud and IoT, QNAP has leveraged Intel-based software and hardware development platforms including OpenNESS, Intel QAT, DPDK, and the Intel OpenVINO toolkit. This brings AI to the edge in conjunction with 5G to address customer requirements such as low latency, data privacy, high bandwidth demands.

The Internet of Things is expected to grow quickly to tens of billions of connected devices, from smart refrigerators to smart showers to smart cruise ships. And pretty soon, it's going to extend to smart cars, Intel demonstrated at its recent autonomous cars event in San Jose, Calif. But Intel knows that we'll have to get data in and out of those cars at rates that are much faster than today's LTE mobile networks can handle. And that's why Rob Topol, general manager of Intel's 5G business and technology, believes that 5G wireless networking will be like the "oxygen" for self-driving cars. Intel is making 5G modem chips to transfer data at gigabits a second over wireless networks in the future, perhaps as early as 2020. Topol believes this wireless networking will enable self-driving cars to communicate with connected infrastructure. That infrastructure will help the cars process sensor, safety, and information for the car and return the results quickly to the cars.