Edge AI models run, but the product doesn't? Considering hardware characteristics comes first.
Published2026.03.24 10:45Nota AI's Manager Jo Seok-young presented on "AI Inference in Edge AI, Lightweight Models and Lightweight Methods" at the 'e4ds Physical AI Frontier 2026' held at COEX on March 6th, disclosing lightweight and optimization strategies that directly address bottlenecks faced by field developers. In the edge AI era, competitiveness lies not in smaller models, but in the ability to complete products faster. The choice between in-house lightweight optimization and specialized solutions is now shifting from a matter of technical preference to a strategic decision area involving cost and time considerations.
Comments
Related news
Edge AI (9) - Jo Seok-young, Nota Manager ①, “There is a severe shortage of AI researchers, so we are overcoming the development limitations with an on-device AI optimization platform”
The integration of various AI functionalities into edge devices has emerged as a critical development challenge that is energizing the industry. Currently, given the severe shortage of AI-specialized experts, developers, and engineers in the field, manufacturing and hardware companies are ill-equipped to achieve time-to-market and secure market dominance. Against this backdrop, AI model lightweight optimization and solution platforms that provide convenience and completeness in on-device AI implementation are gaining traction. There is a rapidly increasing demand for solutions that optimize AI models across diverse chips and even on low-specification devices without performance degradation. Recently, with the on-device AI optimization solution platform 'NetsPresso' drawing attention from industry leaders ranging from Samsung and LG to Naver and Kakao, we met with Jo Seok-young, Manager at Nota Inc. (hereinafter Nota), to discuss the relevant technology, industry trends, and outlook.
2024.07.31by 권신혁 기자
Edge AI (10) - Jo Seok-young, Nota Manager ②, “On-device AI that knows ‘context’ based on generative AI is on the rise”
We met with Manager Cho Seok-young of Nota Corporation (hereinafter Nota), which has been drawing industry attention for its on-device AI optimization solutions, to discuss related technologies, industry trends, and prospects. Subsequently, we were able to hear in-depth responses regarding Nota's AI solution capabilities and the future of on-device AI technology.
2024.08.09by 권신혁 기자
[2025 e4ds Tech Day] “Lightweight Technology is Key to the On-Device AI Era”
"Lightweighting is not simply about making models smaller. To run AI in real-time on low-power devices, complex technologies are required to reduce computational load and optimize for specific hardware. Particularly in on-device AI environments where the device must execute AI independently without relying on cloud infrastructure, lightweighting is not an option but a necessity," said Jo Seok-young, Manager at Nota AI, in a presentation titled "Hardware-Aware AI Model Optimization Solutions and Success Cases for On-Device AI" at the '2025 e4ds Tech Day' event held on September 9th. He emphasized the importance of AI model lightweighting technologies in the on-device AI era.
2025.10.20by 명세환 기자
MDS Tech Manager Kim Min-ki, “MDS Tech Supports the Full Lifecycle of Physical AI Embedded Development”
MDS Tech is a technology company that supports embedded system development across various industry sectors including automotive, defense, aviation, and semiconductors. The company is advancing developer environments through development and verification solutions including TRACE32. Based on its partnership with Arm, MDS Tech provides solutions covering the entire V-model lifecycle—including compilers, debuggers, and dynamic test tools—and goes beyond simple supply to offer education, technical support, and verification. Particularly in physical AI development, the company supports the entire platform development and verification process using Jetson, Keil MDK, TRACE32, and DT+Trace. In this context, MDS Tech plans to present on "Development Strategy and Practical Tips for Physical AI Development" at the 'e4ds Physical AI Frontier 2026' event scheduled for March 6. Accordingly, we met with Kim Min-gi, assistant manager at MDS Tech who will be giving the presentation, to discuss key points in physical AI design.
2026.02.23by 명세환 기자
“AI Now Moves”… 'e4ds Physical AI Frontier 2026' March 6, COEX
The 'e4ds Physical AI Frontier 2026' conference will be held on March 6th at COEX Rooms 317 and 318 in Samseong-dong, Seoul. This event is the nation's largest specialized conference dedicated to Physical AI, focusing on practical AI implementations that actually operate in industrial environments such as sensors, semiconductors, embedded systems, robotics, and manufacturing automation.
2026.02.24by 명세환 기자
