Thibault Castells, Research Engineer at Nota AI, demonstrates the company’s latest edge AI technologies at the 2026 Embedded Vision Summit. Specifically, he demonstrates Qwen3-4B running as a real-time LLM Coding Assistant entirely on Mobilint MLA100 NPU, optimized with NetsPresso®. Achieving 179–478ms Time to First Token and 8.5–10.8 tokens per second, the demo proves that high-performance LLM deployment is fully possible on-device. This showcases how NetsPresso® enables practical, scalable LLM acceleration at the edge without cloud dependency.
To learn more about NetsPresso®, visit: https://www.nota.ai/netspresso
