Byungsoo Jeon

Byungsoo Jeon is a senior system software engineer on the NVIDIA TensorRT compiler backend team, specializing in high-performance distributed ML systems for LLMs. His expertise spans ML compiler optimization, multi-GPU parallelism, operator fusion, and custom GPU kernel development across both training and inference. Byungsoo holds a Ph.D. in Computer Science from Carnegie Mellon University, where his dissertation focused on automated and portable machine learning systems.
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Posts by Byungsoo Jeon

Agentic AI / Generative AI

Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton

The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability... 7 MIN READ
Developer Tools & Techniques

Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the... 11 MIN READ