Sangkug Lym

Sangkug Lym is a senior manager in the NVIDIA Deep Learning Compute Architecture Group. He leads a team focused on optimizing the NVIDIA deep learning software stack for fast and efficient large language model training. He holds a PhD in Electrical and Computer Engineering from the University of Texas at Austin.
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Posts by Sangkug Lym

Agentic AI / Generative AI Nov 06, 2026

Accelerating Reinforcement Learning Weight Refit with the Reshard Collective

During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For... 11 MIN READ
Developer Tools & Techniques Apr 22, 2026

Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron

Higher-order optimization algorithms such as Shampoo have been effectively applied in neural network training for at least a decade. These methods have achieved... 9 MIN READ