NVIDIA Nemotron 3: Efficient and Open Intelligence

Canonical link

https://arxiv.org/abs/2512.20856

Connected researchers

Researcher and engineer working on language models and reinforcement learning, with public work spanning Alpaca, emerging agents, and large-model evaluation.

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

Senior research scientist at NVIDIA focused on large language models, reinforcement learning, and inference-time scaling for AI agents. His public NVIDIA author page also notes prior work on robotic grasping, pose estimation, and language understanding.

Senior research scientist at NVIDIA focused on language and vision models and applied multimodal AI.

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.

Samuel Albanie is listed as an author of the NVIDIA technical report NVIDIA Nemotron 3: Efficient and Open Intelligence.

Canonical link

Rohan Taori

Bryan Catanzaro

Amin Firooz

Jonathan Bradley

Kartikeya Mangalam

Samuel Albanie