Jamie Li

Jamie Li is a senior technical marketing engineer at NVIDIA focused on wrangling the latest technologies in AI inference. He brings a deep background in both AI software engineering and customer management, translating innovations into practical customer outcomes. Before NVIDIA, he held roles developing, breaking, and fixing AI solutions in the enterprise tech sector. He also did research in medical imaging and holds a master’s degree in Computer Science with an AI focus.
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Posts by Jamie Li

Data Center / Cloud Nov 05, 2026

Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory

In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an... 14 MIN READ
Data Center / Cloud Oct 30, 2026

Build a Validated Kubernetes Runtime for NVIDIA Dynamo

Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference... 14 MIN READ
Data Center / Cloud Aug 24, 2026

NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt 

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing... 9 MIN READ
Trustworthy AI / Cybersecurity Jul 02, 2026

Hardware-Rooted AI Security That Won't Slow You Down

AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns... 6 MIN READ
Data Center / Cloud Feb 25, 2026

Making Softmax More Efficient with NVIDIA Blackwell Ultra

LLM context lengths are exploding, and architectures are moving toward complex attention schemes like Multi-Head Latent Attention (MLA) and Grouped Query... 10 MIN READ
Agentic AI / Generative AI Oct 13, 2025

NVIDIA Blackwell Leads on SemiAnalysis InferenceMAX v1 Benchmarks

SemiAnalysis recently launched InferenceMAX v1, a new open source initiative that provides a comprehensive methodology to evaluate inference hardware... 11 MIN READ