Jinho Suh

Jinho is a senior deep learning architect on the DLSIM team at NVIDIA. He is working on performance modeling and analysis of deep learning workloads on NVIDIA accelerators, and contributes to the NVIDIA MLPerf Inference implementation. Before joining NVIDIA, he worked on server CPU and SoC architectures and microarchitectures at Intel and Arm. He has a Ph.D. in computer engineering from University of Southern California with concentration in computer architecture.
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Posts by Jinho Suh

Data Center / Cloud

Setting New Records in MLPerf Inference v3.0 with Full-Stack Optimizations for AI

The most exciting computing applications currently rely on training and running inference on complex AI models, often in demanding, real-time deployment... 15 MIN READ
Simulation / Modeling / Design

Getting the Best Performance on MLPerf Inference 2.0

Models like Megatron 530B are expanding the range of problems AI can address. However, as models continue to grow complexity, they pose a twofold challenge for... 11 MIN READ