Eduardo Alvarez

Eduardo Alvarez is a senior technical marketing engineer at NVIDIA, where he focuses on AI inference at scale, workload performance optimization, TCO analysis, and AI engineering enablement. He brings a deep background in AI systems engineering, model optimization, and GPU-accelerated computing—translating cutting-edge research into practical insights for developers and enterprise teams. Prior to NVIDIA, Eduardo held technical roles at leading semiconductor and energy companies, helping drive the adoption of AI across diverse industries. He holds a degree in Geophysical Engineering from Texas A&M University.
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Posts by Eduardo Alvarez

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Data Center / Cloud Aug 01, 2025

Optimizing LLMs for Performance and Accuracy with Post-Training Quantization

Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput,... 14 MIN READ
Data Center / Cloud Jun 24, 2025

Introducing NVFP4 for Efficient and Accurate Low-Precision Inference

To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as... 11 MIN READ