5G, AI edge computing trend is clear, Intel brings a number of Taiwanese factories to deploy the ecosystem
Intel held the Edge Computing Solution Summit on the 17th, focusing on integrating 5G, artificial intelligence (AI), and computing capabilities to adapt to the era of explosive growth of the Internet of Things in the future. Johnathan Ballon, Vice President of the Internet of Things Business Group ) Said that Intel believes that Taiwan will be an innovation center for edge computing applications, so it chose to host the first Edge Computing Summit in Taiwan.
Jiang Bailun pointed out that the main innovations in the past 10 years have come from software vendors such as Google and Amazon. However, behind the innovations, powerful hardware must be behind them. For example, new applications are constantly being introduced on smartphones. Thanks to the excellent performance of the chip .
Because of the optimism that Taiwan has excellent strength in manufacturing, technology hardware, etc., and develops AI applications such as smart medical, smart manufacturing, and smart cities in the future with a large amount of data background, Intel attaches great importance to future cooperation with Taiwanese factories. At present It has cooperated with more than 200 manufacturers around the world on edge computing, with more than 80 Taiwanese factories.
Jiang Bailun further pointed out that computing will go from the cloud to the edge, and the biggest driving force is AI and 5G. To meet the efficient computing capabilities that future terminal equipment needs, it also has excellent deep learning and neural network functions. Intel therefore launched the new generation of visual computing processor Movidius VPU, which is expected to be available in the first half of next year.
Jiang Bailun pointed out that in the future, edge devices will generate more than 10 times more data than current ones, but these data require specific optimization solutions to increase computing speed, optimize power consumption, and product volume. Movidius VPU is specifically designed for deep learning, vision, and media. Design, featuring low power consumption, high-performance edge inference, and more flexible and flexible shape and size. For example, customers can place the chip in the camera, or integrate it into an M.2 interface expansion card, or a full-featured PCIe on.
Considering that the wide range of edge devices and the fragmentation of applications require different design approaches, Intel therefore provides a series of integrated solutions, such as the latest Open VINO tool suite, DevCloud development cloud, OpenNESS 5G cloud developer software tools, and Open Visual Cloud open source code project, etc. "Intel believes that through such a convenient series of services, the supply chain and ecosystem can quickly establish a foothold in the era of edge computing."
In addition to partners Hon Hai, Advantech, Advantech, IEI, and China Unicom participated in the press conference at the forum, they took the stage to share their products developed in cooperation with Intel, and also invited other supply chain partners to show their innovative AI related scene technology.
Among them, Hon Hai uses OpenNESS to accelerate the development of the second-generation "Local 5G edge solution", which is expected to enable the company to accelerate the promotion of the Internet of Things while 5G wireless infrastructure, while maintaining reasonable operating costs. IEI cooperates with National Taiwan University Hospital to provide dermatologists with OpenVINO to identify cell types, which can effectively increase analysis speed by 5-100 times. Advantech uses Open VINO to integrate its AINavi and VisionNavi solutions to accelerate the detection of production defects in traditional manufacturing industries such as textile manufacturers.
Jiang Bailun pointed out that the main innovations in the past 10 years have come from software vendors such as Google and Amazon. However, behind the innovations, powerful hardware must be behind them. For example, new applications are constantly being introduced on smartphones. Thanks to the excellent performance of the chip .
Because of the optimism that Taiwan has excellent strength in manufacturing, technology hardware, etc., and develops AI applications such as smart medical, smart manufacturing, and smart cities in the future with a large amount of data background, Intel attaches great importance to future cooperation with Taiwanese factories. At present It has cooperated with more than 200 manufacturers around the world on edge computing, with more than 80 Taiwanese factories.
Jiang Bailun further pointed out that computing will go from the cloud to the edge, and the biggest driving force is AI and 5G. To meet the efficient computing capabilities that future terminal equipment needs, it also has excellent deep learning and neural network functions. Intel therefore launched the new generation of visual computing processor Movidius VPU, which is expected to be available in the first half of next year.
Jiang Bailun pointed out that in the future, edge devices will generate more than 10 times more data than current ones, but these data require specific optimization solutions to increase computing speed, optimize power consumption, and product volume. Movidius VPU is specifically designed for deep learning, vision, and media. Design, featuring low power consumption, high-performance edge inference, and more flexible and flexible shape and size. For example, customers can place the chip in the camera, or integrate it into an M.2 interface expansion card, or a full-featured PCIe on.
Considering that the wide range of edge devices and the fragmentation of applications require different design approaches, Intel therefore provides a series of integrated solutions, such as the latest Open VINO tool suite, DevCloud development cloud, OpenNESS 5G cloud developer software tools, and Open Visual Cloud open source code project, etc. "Intel believes that through such a convenient series of services, the supply chain and ecosystem can quickly establish a foothold in the era of edge computing."
In addition to partners Hon Hai, Advantech, Advantech, IEI, and China Unicom participated in the press conference at the forum, they took the stage to share their products developed in cooperation with Intel, and also invited other supply chain partners to show their innovative AI related scene technology.
Among them, Hon Hai uses OpenNESS to accelerate the development of the second-generation "Local 5G edge solution", which is expected to enable the company to accelerate the promotion of the Internet of Things while 5G wireless infrastructure, while maintaining reasonable operating costs. IEI cooperates with National Taiwan University Hospital to provide dermatologists with OpenVINO to identify cell types, which can effectively increase analysis speed by 5-100 times. Advantech uses Open VINO to integrate its AINavi and VisionNavi solutions to accelerate the detection of production defects in traditional manufacturing industries such as textile manufacturers.