National Yang Ming Chiao Tung University receives computing equipment to promote in-depth generative AI research
National Yang Ming Chiao Tung University (NYCU) announced it received three high-performance AI devices from Kneron, which will be used to deepen research in generative AI and large language models. This donation aims to enhance students' practical skills from model training to system integration and foster industry-academia collaboration.
📋 Article Processing Timeline
- 📰 Published: April 30, 2026 at 15:40
- 🔍 Collected: April 30, 2026 at 16:01 (21 min after Published)
- 🤖 AI Analyzed: April 30, 2026 at 16:09 (7 min after Collected)
Central News
(CNA reporter Lu Kang-chun, Hsinchu City, 30th) National Yang Ming Chiao Tung University (NYCU) today received a donation of three high-performance AI devices from Kneron, which will be used to deepen research in areas such as generative AI (Artificial Intelligence) and large language models, and enhance students' practical capabilities from model training to system integration.
NYCU Vice President Tang Cheng-huan stated in his speech that AI competition has shifted from mere computing power scale to system architectures that balance energy efficiency and deployment flexibility. Kneron's low-power, edge deployment platform can assist the university in integrating edge computing capabilities into its existing computing foundation, gradually transforming towards a new AI infrastructure of "cloud-edge collaboration."
Kneron CEO Liu Jun-cheng said that with the rapid development of generative AI, industry demand has shifted towards pursuing a balance between efficiency and energy consumption. The initial design intention of this equipment was to provide a practical platform supporting large language models with lower power consumption than traditional GPUs (Graphics Processing Units). He hopes to allow academia to get early exposure to actual deployment environments and cultivate excellent talents with system integration capabilities.
NYCU Electrical Engineering Department Head Fang Kai-tien pointed out that the donated equipment will be integrated into courses such as "Introduction to Artificial Intelligence" and "Large Language Models," allowing students to participate in model optimization processes. As AI applications move from the cloud to end devices, this industry-academia collaboration is regarded as an important milestone to bridge industry needs and strengthen implementation capabilities.
NYCU stated in a press release that the introduction of these devices will extend AI teaching in the university from pure theoretical training to practical deployment on end devices. Students will then be able to directly conduct large language model inference and optimization on campus, integrating AI application development with real-time computing scenarios through key technical practices such as model quantization and knowledge distillation, thereby shortening the distance between academic research and industrial practice. (Edited by Lin Shu-hui) 1150430
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(CNA reporter Lu Kang-chun, Hsinchu City, 30th) National Yang Ming Chiao Tung University (NYCU) today received a donation of three high-performance AI devices from Kneron, which will be used to deepen research in areas such as generative AI (Artificial Intelligence) and large language models, and enhance students' practical capabilities from model training to system integration.
NYCU Vice President Tang Cheng-huan stated in his speech that AI competition has shifted from mere computing power scale to system architectures that balance energy efficiency and deployment flexibility. Kneron's low-power, edge deployment platform can assist the university in integrating edge computing capabilities into its existing computing foundation, gradually transforming towards a new AI infrastructure of "cloud-edge collaboration."
Kneron CEO Liu Jun-cheng said that with the rapid development of generative AI, industry demand has shifted towards pursuing a balance between efficiency and energy consumption. The initial design intention of this equipment was to provide a practical platform supporting large language models with lower power consumption than traditional GPUs (Graphics Processing Units). He hopes to allow academia to get early exposure to actual deployment environments and cultivate excellent talents with system integration capabilities.
NYCU Electrical Engineering Department Head Fang Kai-tien pointed out that the donated equipment will be integrated into courses such as "Introduction to Artificial Intelligence" and "Large Language Models," allowing students to participate in model optimization processes. As AI applications move from the cloud to end devices, this industry-academia collaboration is regarded as an important milestone to bridge industry needs and strengthen implementation capabilities.
NYCU stated in a press release that the introduction of these devices will extend AI teaching in the university from pure theoretical training to practical deployment on end devices. Students will then be able to directly conduct large language model inference and optimization on campus, integrating AI application development with real-time computing scenarios through key technical practices such as model quantization and knowledge distillation, thereby shortening the distance between academic research and industrial practice. (Edited by Lin Shu-hui) 1150430
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