Hardware-AI Gap, AI Optimization Company Value↑
Published2024.07.26 11:20국내외·중소·IDM·팹리스 가릴 것 없이 반도체 기업들이 AI 솔루션 업체들에 러브콜을 보내면서 인수합병·파트너십 등 융합 협력 생태계가 강화되고 있다.
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Edge AI (5) - Edge-optimized AI is on the rise... "Cost-effectiveness, cost-effectiveness, and lightness are the key"
Domestic system semiconductor startups are dreaming of a leap forward, buoyed by growing demand for semiconductor-based solutions and the artificial intelligence boom. At the system semiconductor co-prosperity forum held for the second time this year, numerous deep tech companies participated and exchanged technologies and visions.
2023.08.21by 명세환 기자
“Limitations on the Expansion of Super-Large AI Models, Lightweighting and Modularization Are Necessary”
The Ministry of Science and ICT held the '2023 Artificial Intelligence Graduate School Symposium' for two days on the 17th and 18th at the Grand Ballroom of COEX in Samseong-dong. Experts presented the argument that, in addition to ultra-large-scale AI models, research into modularization and lightweight optimization of medium-scale AI models is necessary to meet reasonable cost requirements for each service.
2023.08.23by 김예지 기자
Personal AI computing is in full swing, and chipmakers are waging a war over AI semiconductors.
At CES 2024, a large number of chip solutions that substantialize personal AI computing are emerging. This ranges from GPUs that enhance generative AI capabilities, to desktop processors enabling AI PCs, and the advent of processors opening the mobile AI computing era. This signifies that personal AI hardware is penetrating into a very broad range of edge and local domains. AI processors that address latency issues and privacy concerns that can arise from server-side AI computing, while delivering performance improvements to AI functions on PCs and edge devices, are expected to define the coming year.
2024.01.11by 권신혁 기자
NXP and NVIDIA Collaborate to Accelerate AI Deployment
NXP 반도체가 엔비디아(NVIDIA) GTC에서 엔비디아와의 협력을 최근 발표했다. 이에 eIQ® 머신러닝 개발 환경을 통해 엔비디아의 훈련된 AI 모델을 NXP의 광범위한 엣지 프로세싱 디바이스 포트폴리오에 배포할 수 있게 됐다.
2024.03.22by 명세환 기자
Park Se-jin, CEO of Gamba Labs, said, "On-device AI: $1 Processor, $2 Module 'Daiso Strategy'"
최근 가전과 IoT 제품 등 일상 주변의 디바이스 등에 AI 기능이 탑재되고 있는 추세이다. 특히 이러한 엣지 디바이스에서의 AI 시스템은 엣지단에서 AI를 수행하는 칩을 둠으로써 메인 모듈 혹은 프로세서가 상시 켜져 있을 필요성이 줄어들어 전력 효율을 도모할 수 있다.
2024.06.18by 권신혁 기자
