Maor Ashkenazi

Maor Ashkenazi is a team leader and senior researcher at NVIDIA, focusing on LLM inference algorithms. His recent work centers on speculative decoding, bridging model research and inference systems to deliver practical end-to-end speedups. Maor has completed his doctoral studies in Computer Science at Ben-Gurion University of the Negev. He also holds a master's degree in Computer Science and a bachelor’s degree in Software Engineering, awarded summa cum laude.
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Posts by Maor Ashkenazi

Developer Tools & Techniques Sep 02, 2026

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference

This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and... 15 MIN READ