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Edge AI refers to the implementation of AI algorithms on edge devices such as smartphones, IoT devices, and embedded systems, rather than relying on cloud-based infrastructure.Edge AI workhorse applications such as AI mobile phones and AI PCs are seen as the key applications across the electronics supply chain that have the greatest ability to drive overall shipment momentum in 2024, outside of cloud-based AI.

Recently, at the Intel Networking and Edge Computing Industry Conference 2024 in Beijing, Sachin Katti, senior vice president and general manager of the Networking and Edge Business Unit at Intel Corporation, said, "Intel is focused on helping enterprises simplify the complex process of deploying AI across PCs, the edge, and the datacenter in order to make ' AI everywhere' vision. Intel has a comprehensive and broad base of chips. From Atom to Xeon, we have introduced the Atom x7000RE/x7000C series, Core and Core Ultra series, Xeon 6700E series, Arc GPUs for the edge, and IPU E2100 network adapters. With software-defined simplicity and an open and diverse ecosystem, Intel is able to bring a wealth of choice to customers."

As an example, Intel Core processors are not only technically advanced, but also have integrated graphics processing power and AI capabilities. This allows every use case to take full advantage of the multi-purpose processor (MPU). Core products are brilliantly designed, combining GPU and customer needs, as well as large model application requirements and more. Customers can leverage the CPU and GPU, combined with Intel's OpenVINO tool suite, to more easily run AI applications on the platform.

For example, Cordon's LLM robotic arm control solution is deployed on the Intel Core Ultra platform based on LLM inference, with an integrated control system for the robotic arm, and a server to drive the robotic arm body. This solution is based on the case of the combination of KDOM's robot operating system and language-based big models. The case embodies the ability of visual recognition and motion planning based on AI big models, which accelerates the high efficiency at the development level and meets the demand for lightweight local deployment in industrial scenarios, while doing so with no data leaving the factory. This programme has been applied in smart factories.

In addition, the reporter saw that the Baode AI digital human solution is based on Intel Xeon processors and Baode servers and workstations with Intel CPUs as the AI arithmetic base, which can be widely used in intelligent voice assistants, webcasting, online education, retail and so on. Intel's various chips put the NPU concept down to the edge of the IoT applications, so that the IoT can also have AI functions in the operation.