Michael Ferry

Michael Ferry is an engineering manager on the NVIDIA TensorRT team, where he leads teams focused on automotive safety, TensorRT Edge-LLM, TensorRT Model Connect, new platforms, and developer efficiency. He works to make deep learning inference easy to use, highly optimized, and reliable, particularly on edge and automotive platforms, including safety-critical systems. Before joining NVIDIA in 2018, Michael created and led several verification tools focused on floating-point computation at Intel. He holds a Ph.D. in mathematics, specializing in numerical optimization, from the University of California, San Diego.
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Posts by Michael Ferry

Developer Tools & Techniques

Run AI Models for Edge Application Development with Just a Few Commands

AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions,... 5 MIN READ
Developer Tools & Techniques

Deploy an Open Model from Checkpoint to Inference in Two Commands with NVIDIA TensorRT Model Connect

Open AI models are evolving faster than ever, but bringing them into native applications can still require model-specific conversion, preprocessing,... 6 MIN READ
Developer Tools & Techniques

Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics

Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots. The challenge is no longer how to run a... 7 MIN READ