Seonghee Lee

Seonghee Lee is an engineer on the AI platform software team at NVIDIA, focusing on AI Inference-related products. Seonghee holds a master’s in computer science from Stanford University and a bachelor’s in science from Cornell University, specializing in AI. Before joining NVIDIA, she worked at Microsoft Research on developing real-time AI agent interactions.
Avatar photo

Posts by Seonghee Lee

Developer Tools & Techniques Aug 17, 2026

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
Decorative image.
Developer Tools & Techniques Jun 26, 2026

Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer

As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an... 16 MIN READ
Deocrative image.
Developer Tools & Techniques Mar 09, 2026

Enhancing Distributed Inference Performance with the NVIDIA Inference Transfer Library

Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and request handling across many GPUs and... 13 MIN READ
Data Center / Cloud Feb 25, 2026

Making Softmax More Efficient with NVIDIA Blackwell Ultra

LLM context lengths are exploding, and architectures are moving toward complex attention schemes like Multi-Head Latent Attention (MLA) and Grouped Query... 10 MIN READ