Pegatron

Canvas Category OEM : Computer and Electronic

Website | LinkedIn

Primary Location Beitou District, Taipei, Taiwan, China

Financial Status TPE: 4938

PEGATRON Corporation (hereafter referred to as “PEGATRON”) was founded on January 1, 2008. With abundant product development experience and vertically integrated manufacturing, we are committed to providing clients with innovative design, systematic production and manufacturing service in order to comprehensively and efficiently satisfy all of our customers’ needs. PEGATRON features a solid R&D team, friendly, fast service quality as well as a high degree of employee cohesion. Furthermore, we have combined EMS and ODM industries to become an emerging Design and Manufacturing Service (DMS) company. Consequently, we are able to offer industry-leading, state-of-the-art products and profitable business opportunities for our partners.

Assembly Line

Luxshare Acquires Leadership of Pegatron’s Kunshan Plant, Challenging Foxconn’s Dominance on iPhone Assembly?

📅 Date:

🔖 Topics: Acquisition

🏢 Organizations: Luxshare, Pegatron, Apple


Chinese iPhone assembly contractor Luxshare Precision is set to officially acquire the controlling stake of Pegaglobe (Kunshan), the iPhone assembly plant under Pegatron. This series of acquisitions will provide Luxshare with a stronger competitive advantage against Foxconn. Concurrently, Luxshare is reinforcing its component layout to enhance its capability to expand iPhone orders.

Following the acquisition of Wistron’s Jiangsu and Kunshan plant, Luxshare has now secured the controlling stake of Pegaglobe (Kunshan), a subsidiary of Pegatron. This marks another acquisition of China’s plants involved in manufacturing iPhone for Taiwanese companies.

Read more at Trend Force

World’s Leading Electronics Manufacturers Adopt NVIDIA Generative AI and Omniverse to Digitalize State-of-the-Art Factories

📅 Date:

✍️ Author: Adam Scraba

🔖 Topics: Automated Optical Inspection, Quality Assurance

🏭 Vertical: Computer and Electronic

🏢 Organizations: NVIDIA, Foxconn, Innodisk, Pegatron, Quanta, Wistron, Siemens


More than 50 manufacturing giants and industrial automation providers — including Foxconn Industrial Internet, Pegatron, Quanta, Siemens and Wistron — are implementing Metropolis for Factories, NVIDIA founder and CEO Jensen Huang announced during his keynote address at the COMPUTEX technology conference in Taipei.

Supported by an expansive partner network, the workflow helps manufacturers plan, build, operate and optimize their factories with an array of NVIDIA technologies. These include NVIDIA Omniverse™, which connects top computer-aided design apps, as well as APIs and cutting-edge frameworks for generative AI; the NVIDIA Isaac Sim™ application for simulating and testing robots; and the NVIDIA Metropolis vision AI framework, now enabled for automated optical inspection. NVIDIA Metropolis for Factories is a collection of factory automation workflows that enables industrial technology companies and manufacturers to develop, deploy and manage customized quality-control systems that offer a competitive advantage.

Read more at NVIDIA News

Smart Devices, Smart Manufacturing: Pegatron Taps AI, Digital Twins

📅 Date:

✍️ Author: Rick Merritt

🔖 Topics: AI, Defect Detection, Visual Inspection

🏢 Organizations: NVIDIA, Pegatron


Today, Pegatron uses Cambrian, an AI platform it built for automated inspection, deployed in most of its factories. It maintains hundreds of AI models, trained and running in production on NVIDIA GPUs. Pegatron’s system uses NVIDIA A100 Tensor Core GPUs to deploy AI models up to 50x faster than when it trained them on workstations, cutting weeks of work down to a few hours. Pegatron uses NVIDIA Triton Inference Server, open-source software that helps deploy, run and scale AI models across all types of processors, and frameworks.

Taking another step in smarter manufacturing, Pegatron is piloting NVIDIA Omniverse, a platform for developing digital twins “In my opinion, the greatest impact will come from building a full virtual factory so we can try out things like new ways to route products through the plant,” he said. “When you just build it out without a simulation first, your mistakes are very costly.”

Read more at NVIDIA Blog