Lin Chai

Lin Chai is a senior product manager at NVIDIA, leading TensorRT and TensorRT Edge-LLM, NVIDIA’s AI inference platforms for deep learning across datacenter and embedded platforms. Drawing on her background in autonomous driving and automotive OEMs, she is inspired to build production-grade inference systems that deliver best-in-class performance for deep learning workloads across data center, edge, and physical AI applications—enabling systems that perceive, reason, and act in the real world.
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Posts by Lin Chai

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
Edge Computing

Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 2

The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides automatic, accuracy-aware and... 12 MIN READ
Edge Computing

Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1

Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For... 14 MIN READ
Agentic AI / Generative AI

TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor

AI agents are moving from cloud data centers to vehicles, robots, and other edge devices. Unlike a chatbot that answers a single prompt, an agent works through... 7 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