Nota AI to Showcase Cutting-Edge Edge AI Models at Embedded World 2026
March 9, 2026
Nota AI will participate in Embedded World 2026 in Nuremberg from March 10–12, 2026, to showcase end-to-end on-device AI from edge optimization to real-world deployment.
Nota AI maintains collaborations with Samsung Electronics (Exynos 2600) and ongoing relationships with Qualcomm and Arm, underscoring its position in on-device AI optimization.
Nota AI’s work includes optimizing for Samsung’s Exynos 2600 and ongoing collaboration with Qualcomm and Arm to show cross-vendor applicability.
Nota AI’s recent research on vision-language models and vision-language-action systems, focusing on efficiency and reliability, has been accepted at ICLR 2026 and the AAAI 2026 Foundation Model Workshop.
Industry recognition highlights Nota AI’s work on efficient and reliable vision-language models (VLMs), with acceptance at ICLR 2026 and the AAAI 2026 Foundation Model Workshop.
Nota AI will showcase live edge demonstrations at Embedded World, running real-time AI models on Qualcomm and Arm hardware, plus a Device Farm exhibit of hardware platforms optimized by Nota AI.
CTO and co-founder Tae-Ho Kim will host mini sessions at the Nota AI booth to discuss lightweighting strategies and real-world deployment cases across global semiconductor platforms.
At Embedded World, Nota AI will present live demonstrations on edge devices, host mini sessions led by Tae-Ho Kim, and showcase a Device Farm featuring hardware from major semiconductor companies.
The company stresses its mission to run AI models efficiently across diverse hardware ecosystems and is offering complimentary Embedded World visitor passes for preregistered attendees.
Nota AI aims to demonstrate its ability to run AI models efficiently across more than 100 hardware platforms, signaling broad industrial applicability.
The company’s Embedded World presence will cover end-to-end on-device AI, from edge optimization to practical deployments, at Hall 5, Booth 5-422.
The company’s recent research efforts center on improving efficiency and reliability of VLMs and related systems, with showcases at major conferences in 2026.
Summary based on 5 sources



