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Yuankun Fu

Yuankun Fu is a seasoned performance engineer at VMware by Broadcom, focusing on optimizing AI and HPC performance, with a Ph.D. from Purdue University and 14+ years of HPC experience.

Author's Posts

Home Page

How Many Users Can Your LLM Server Really Handle?

Deploying large language models (LLMs) in an enterprise environment has transitioned from a proof-of-concept exercise to a rigorous engineering discipline. Yet, accurately predicting the capacity...

Enrique Corro, Yuankun Fu
April 30, 2026
VCF Performance

Modernizing EDA Infrastructure: Lessons from Samsung’s VCF Deployment

Yuankun Fu
February 5, 2026
Home Page

Deploy Distributed LLM Inference with GPUDirect RDMA over InfiniBand in VMware Private AI

Yuankun Fu
September 16, 2025
VCF Private AI Services

Deploy VMware Private AI on HGX servers with Broadcom Ethernet Networking

Yuankun Fu
September 9, 2025
VCF Private AI Services

VMware Private AI Foundation with NVIDIA on HGX Servers for Inference

Yuankun Fu
March 25, 2025
Video wall with small screens digital concept..Reference Earth Map taken from open source: http://visibleearth.nasa.gov/view_rec.php?vev1id=11656 .Software used: 3dsMax.Date of creation (rendered) - 26.08.2011.All layers used
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LLM Inference Sizing and Performance Guidance

Yuankun Fu
September 25, 2024