Sukru Burc Eryilmaz

S. Burc Eryilmaz is a senior architect in Compute Architecture at NVIDIA, where he works on improving the end-to-end performance of neural network training both at single-node scale and supercomputer scale. He received his PhD from Stanford University, and B.S from Bilkent University.
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Posts by Sukru Burc Eryilmaz

Data Center / Cloud

NVIDIA Blackwell Doubles LLM Training Performance in MLPerf Training v4.1

As models grow larger and are trained on more data, they become more capable, making them more useful. To train these models quickly, more performance,... 8 MIN READ
Decorative image of rows of GPUs.
Data Center / Cloud

NVIDIA Sets New Generative AI Performance and Scale Records in MLPerf Training v4.0

Generative AI models have a variety of uses, such as helping write computer code, crafting stories, composing music, generating images, producing videos, and... 11 MIN READ
Data Center / Cloud

Setting New Records at Data Center Scale Using NVIDIA H100 GPUs and NVIDIA Quantum-2 InfiniBand

Generative AI is rapidly transforming computing, unlocking new use cases and turbocharging existing ones. Large language models (LLMs), such as OpenAI’s GPT... 19 MIN READ
Data center
Data Center / Cloud

Breaking MLPerf Training Records with NVIDIA H100 GPUs

At the heart of the rapidly expanding set of AI-powered applications are powerful AI models. Before these models can be deployed, they must be trained through a... 15 MIN READ
Simulation / Modeling / Design

Tuning AI Infrastructure Performance with MLPerf HPC v2.0 Benchmarks

As the fusion of AI and simulation accelerates scientific discovery, the need has arisen for a means to measure and rank the speed and throughput for building... 14 MIN READ
Simulation / Modeling / Design

Leading MLPerf Training 2.1 with Full Stack Optimizations for AI

MLPerf benchmarks, developed by MLCommons, are critical evaluation tools for organizations to measure the performance of their machine learning models' training... 14 MIN READ