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NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Reasoning Models report from NVIDIA with 9 connected researchers in the LLMpeople atlas.

NVIDIA2025-08-209 researchers
Field
Reasoning Models
Organization
NVIDIA
arXiv
2508.14444

Canonical link

https://arxiv.org/abs/2508.14444

Connected researchers

Mona Jalal portrait
Researcher 5 reports

Mona Jalal

NVIDIA

Mona Jalal is a computer vision research engineer at Toyota Material Handling. Her homepage says she leads 3D computer vision work such as 6D object pose estimation and synthetic data generation, previously worked as an R&D engineer at UC Berkeley's FHL VIVE Center, completed doctoral study in computer vision at Boston University, and earlier earned master's degrees in computer sciences and electrical engineering from the University of Wisconsin-Madison.

NVIDIA
United States
Bryan Catanzaro portrait
Researcher 7 reports

Bryan Catanzaro

NVIDIA

Vice President of Applied Deep Learning Research at NVIDIA, leading work on conversational AI, generative AI, and accelerated deep learning software.

NVIDIA
Ching-Yao Chuang portrait
Researcher 4 reports

Ching-Yao Chuang

NVIDIA

Ching-Yao Chuang is a researcher at OpenAI working on multimodal and generative AI systems. His homepage lists prior roles at xAI and Meta GenAI and a PhD from MIT.

NVIDIA
Ming-Yu Liu portrait
Researcher 4 reports

Ming-Yu Liu

NVIDIA

Ming-Yu Liu is a vice president of research at NVIDIA and an IEEE Fellow. He leads the Deep Imagination Research group, which focuses on deep generative models for content creation and foundation models for physical AI. He previously held research leadership roles at Mercedes-Benz Research and Development North America and National Tsing Hua University, and he earned degrees from National Taiwan University, National Chiao Tung University, and the University of Illinois Urbana-Champaign.

NVIDIA
Junxian He portrait
Researcher 2 reports

Junxian He

NVIDIA

Junxian He is an assistant professor in computer science and engineering at the Hong Kong University of Science and Technology. His public homepage and Princeton profile say he works at the intersection of natural language processing and machine learning, focusing on scalable methods for language model training and reasoning, completed a PhD in computer science at Princeton University in 2024, and previously earned bachelor's degrees in economics and computer science from Peking University.

NVIDIA
Yeonwoo Choi portrait
Researcher 1 reports

Yeonwoo Choi

NVIDIA

Yeonwoo Choi is listed as an author of the NVIDIA technical report NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model.

NVIDIA
Abhinav Khattar portrait
Researcher 3 reports

Abhinav Khattar

NVIDIA

Abhinav Khattar is a research scientist at NVIDIA working on LLM alignment, customization, and machine translation. Before joining NVIDIA, he earned a master's degree in computer science from Carnegie Mellon University and worked on information retrieval and speech recognition.

NVIDIA
Junchen Liu portrait
Researcher 1 reports

Junchen Liu

NVIDIA

Researcher at NVIDIA and coauthor of the Nemotron Nano 2 report.

NVIDIA
Kartikeya Mangalam portrait
Researcher 2 reports

Kartikeya Mangalam

NVIDIA

Kartikeya Mangalam is a PhD student in computer vision at UC Berkeley advised by Jitendra Malik. His public homepage says he previously held a visiting researcher role at Meta AI, studied in Stanford CS, graduated summa cum laude in electrical engineering with a machine learning minor from IIT Kanpur, and works on computer vision, video understanding, and human motion analysis.

NVIDIA

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