Gemma Allen of theCUBE moderates a conversation with Said Ouissal of ZEDEDA and Padraig Stapleton of ZEDEDA that takes place at NVIDIA GTC 2026. The discussion examines ZEDEDA's Edge Intelligence platform and real-world edge artificial intelligence, AI deployments. Ouissal and Stapleton draw on experience deploying the EVE operating system, EVE OS, across industrial, energy, retail, maritime and automotive environments, and they discuss agentic AI, inference at the edge and NVIDIA IGX Thor capabilities. theCUBE Research frames the discussion. Ouissal asserts that inference moves to edge locations and that NVIDIA Thor enables running powerful large language models, LLMs and vision language models, VLMs on-site. Stapleton emphasizes open-source EVE OS and platform flexibility to avoid vendor lock and accelerate production deployments. Speakers illustrate customer examples that demonstrate immediate real-world impact, such as car wash conversational LLMs and Maersk vessels deploying on-site inference for operations and safety. Watch the full conversation to learn technical details on deployment architecture, security and performance optimization at the edge.