Sr. Solutions Architect Title / NVIDIA

Po-Han (Porras) Huang is a Senior Solutions Architect at NVIDIA, currently partnering with Google and DeepMind to accelerate cutting-edge AI models and deploy next-generation architectures into real-world enterprise applications. Over his five-year career across multiple engineering teams, his industry experience spans low-level GPU hardware bring-up, cloud gaming infrastructure, and multi-GPU datacenter networking. Through these roles, Porras has developed deep expertise in scaling high-performance AI systems, solving complex technical bottlenecks, and navigating cross-functional collaborations with major tech partners.

Complementing his industry background, Porras holds a strong foundation in academic research and education from the Georgia Institute of Technology and Lawrence Berkeley Lab. His academic work focuses on scalable inference frameworks for scientific supercomputing, distributed machine learning simulation, and aerospace AI applications. Drawing on his experience balancing rigorous graduate research with fast-paced engineering roles, he is passionate about mentoring others on bridging the gap between foundational academia and modern industry, navigating non-linear career pivots, and thriving in the AI ecosystem.

黃柏翰（Po-Han "Porras" Huang）現任 NVIDIA 資深解決方案架構師，目前與 Google 及 DeepMind 合作，致力於加速前沿 AI 模型的研發，並將下一代模型架構部署至真實世界的企業級應用中。在跨越多個工程團隊的五年職涯中，他的產業經驗涵蓋底層GPU 硬體 Bring-up、雲端遊戲基礎設施，以及多 GPU 資料中心網路。透過這些歷練，Porras 在大規模高效能 AI 系統擴展、解決複雜技術瓶頸，以及與大型科技夥伴進行跨領域合作方面，累積了深厚的專業知識。

除了豐富的產業背景，Porras 在喬治亞理工學院（Georgia Tech）與勞倫斯伯克利國家實驗室（Lawrence Berkeley Lab）的學術研究與教育領域也奠定了堅實的基礎。他的學術研究專注於科學超級運算的可擴展推論框架、分散式機器學習模擬，以及航空航天 AI 應用。憑藉著平衡嚴謹研究所研究與高節奏工程職務的經驗，他熱衷於指導他人如何架起基礎學術與現代產業之間的橋樑、應對非線性職涯轉型，並在 AI 生態系統中脫穎而出。