Chenhan Yu

Chenhan Yu is an engineering manager at NVIDIA, working on inference and deployment system software optimization for generative AIs and autonomous driving. He received his Ph.D. in computer science from the University of Texas at Austin.
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Posts by Chenhan Yu

Developer Tools & Techniques

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find... 18 MIN READ
Data Center / Cloud

An Introduction to Speculative Decoding for Reducing Latency in AI Inference

Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits... 11 MIN READ
Illustration showing models and NeMo.
Agentic AI / Generative AI

Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer

As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of... 10 MIN READ