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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
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Internships
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2024
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(5)
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Circuits and VLSI Design
(5)
Generative AI
(5)
Artificial Intelligence and Machine Learning
(3)
Computer Architecture
(1)
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Circuits and VLSI Design
Generative AI
Clear all
2023
Circuits and VLSI Design
Generative AI
2023
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu
, Teo Ene, Robert Kirby, Chris Cheng,
Nathaniel Pinckney
,
Rongjian Liang
, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain,
Brucek Khailany
, George Kokai, Kishor Kunal, Xiaowei Li, Charley Lind, Hao Liu, Stuart Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej,
Walker Turner
, Kaizhe Xu,
Haoxing (Mark) Ren
VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Mingjie Liu
,
Nathaniel Pinckney
,
Brucek Khailany
,
Haoxing (Mark) Ren
Efficient Transformer Inference with Statically Structured Sparse Attention
Steve Dai
, Hasan Genc,
Rangharajan Venkatesan
,
Brucek Khailany
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei,
Haoyu Yang
, Yuzhe Ma, Bei Yu, Martin Wong
BufFormer: A Generative ML Framework for Scalable Buffering
Rongjian Liang
, Siddhartha Nath, Anand Rajaram, Jiang Hu,
Haoxing (Mark) Ren