Nota AI to Showcase End-to-End On-Device AI-from Edge Optimization to Real-World Industrial Deployment-at Embedded World 2026
- Over 40 AI models lightweighted and optimized across more than 100 devices; technologies adopted by global leaders including Samsung and NVIDIA
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Live demonstrations of LLM and computer vision models running in real time on Qualcomm and
Arm hardware, alongside aDevice Farm exhibit showcasing edge AI optimization capabilities - Real-world applications of NVA (Nota Vision Agent) in safety, security, and smart city operations; VLA research recognized at ICLR and AAAI highlights Nota's technological leadership
At the event, Nota AI will demonstrate how semiconductor companies can rapidly optimize high-performance AI models for their chips using its AI model optimization platform, NetsPresso®. The company has accumulated extensive expertise in lightweighting and optimizing AI models—from small language models (SLMs) to large language models (LLMs) and vision-language models (VLMs). To date, Nota AI has successfully compressed more than 40 AI models while maintaining performance and has deployed its optimization technologies across over 100 hardware devices.
Nota AI's AI lightweighting and optimization technologies have already been recognized in the global market. The company recently supplied AI optimization technology for Samsung Electronics' Exynos 2600, where the technology serves as a core component enabling mobile on-device AI capabilities. Nota AI has also maintained ongoing technology collaborations with global semiconductor companies including Qualcomm and
Nota AI will also showcase a
In addition, Nota AI will introduce real-world solutions that combine AI models with hardware optimization in on-device environments. Through its video analytics solution NVA (Nota Vision Agent), Nota AI has delivered technologies across industries such as safety monitoring, security, and smart city operations in collaboration with global partners including NVIDIA. At the booth, the company will demonstrate real deployment cases including selective video monitoring, intelligent transportation systems (ITS), and industrial safety monitoring.
Nota AI will also present its latest research achievements recently accepted at ICLR 2026 and the AAAI 2026
During the exhibition, Tae-Ho Kim, CTO & Co-Founder of Nota AI, will host mini sessions at the booth to present the company's AI lightweighting and optimization strategies and share real-world cases of applying Nota AI technologies to global semiconductor platforms. The sessions will provide insights into Nota AI's approach to efficiently running AI models on edge devices and the company's technological differentiation.
"Nota AI has continuously advanced lightweighting and optimization technologies that enable AI models to run efficiently across more than 100 types of hardware without being limited to a single device architecture," said Myungsu Chae, CEO of Nota AI. "
Nota AI will offer complimentary
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SOURCE Nota AI