NVIDIA

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Recent Activity

emelryan updated a model about 15 hours ago

nvidia/NVIDIA-Nemotron-Parse-2.0

nigeln updated a dataset about 16 hours ago

nvidia/PhysicalAI-Robotics-Open-H-Embodiment

ngeneva new activity about 18 hours ago

nvidia/dlesym-v1-era5:aiwq-checkpoints

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Papers

Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation

UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations

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Articles

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics

The State of Simulation for Physical AI: An Overview

Introducing Cosmos 3 Edge

Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers

NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval

Data for Agents

NVIDIA Isaac Teleop and GR00T 1.7 Open VLA Model Available in LeRobot

Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel

Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent

Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining

Taking Alpamayo to New Heights with Driving Foundation Models and Closed-Loop Training

Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action

Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models

Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation

Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents

Adaptive Ultrasound Imaging with Physics-Informed NV-Raw2Insights-US AI

Gemma 4 VLA Demo on Jetson Orin Nano Super

How to Ground a Korean AI Agent in Real Demographics with Synthetic Personas

Building a Fast Multilingual OCR Model with Synthetic Data

NVIDIA Isaac GR00T N1.7: Open Reasoning VLA Model for Humanoid Robots

Build a Domain-Specific Embedding Model in Under a Day

Nemotron 3 Content Safety 4B: Multimodal, Multilingual Content Moderation

Introducing SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding

Nemotron 3 Nano 4B: A Compact Hybrid Model for Efficient Local AI

The First Healthcare Robotics Dataset and Foundational Physical AI Models for Healthcare Robotics

Beyond Semantic Similarity: Introducing NVIDIA NeMo Retriever’s Generalizable Agentic Retrieval Pipeline

Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation

How NVIDIA AI-Q Reached \#1 on DeepResearch Bench I and II

Code Concepts: A Large-Scale Synthetic Dataset Generated from Programming Concept Seeds

How NVIDIA Builds Open Data for AI

Deploying Open Source Vision Language Models (VLM) on Jetson

「データ不足」の壁を越える：合成ペルソナが日本のAI開発を加速

From Scarcity to Scale: How Synthetic Personas Can Bootstrap Japanese AI Development

NVIDIA Nemotron 2 Nano 9B Japanese: 日本のソブリンAIを支える最先端小規模言語モデル

NVIDIA Nemotron 2 Nano 9B Japanese: State-of-the-Art Small Language Model Customized for Japanese Sovereign AI

Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3’s Top Model

Introducing NVIDIA Cosmos Policy for Advanced Robot Control

Nemotron-Personas-Brazil: Co-Designed Data for Sovereign AI

Nemotron-Personas-Singapore: Co-Designed Data for Sovereign AI

NVIDIA Earth-2 Open Models Span the Whole Weather Stack

Small Yet Mighty: Improve Accuracy In Multimodal Search and Visual Document Retrieval with Llama Nemotron RAG Models

Generalist Robot Policy Evaluation in Simulation with NVIDIA Isaac Lab-Arena and LeRobot

NVIDIA Cosmos Reason 2 Brings Advanced Reasoning To Physical AI

Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR

The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator

Nemotron 3 Nano \- A new Standard for Efficient, Open, and Intelligent Agentic Models

Custom Policy Enforcement with Reasoning: Faster, Safer AI Applications

How to Build a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac for Healthcare

🛡️ Nemotron PII: Synthesized Data for Privacy-Preserving AI

Nemotron-Personas-USA: Synthesized Data for Sovereign AI

NVIDIA Isaac GR00T in LeRobot

Can Your LLM Think Like a Professional? Introducing ProfBench

NVIDIA Releases 8 Million Sample Open Dataset and Tooling for OCR, Image Reasoning, Image and Video QA Tasks

Cosmos Predict 2.5 & Transfer 2.5: Evolving the World Foundation Models for Physical AI

Nemotron’s Open Secret: Accelerating AI Development with Open Models, Data, and Recipes

Llama‑Embed‑Nemotron‑8B Text Embedding Model Ranks First on Multilingual MTEB Leaderboard

Scaling Test-Time Compute to Achieve Gold Medal at IOI 2025 with Open-Weight Models

Nemotron-Personas-India: Synthesized Data for Sovereign AI

Nemotron-Personas-Japan: ソブリン AI のための合成データセット

Nemotron-Personas-Japan: Synthesized Data for Sovereign AI

NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset

Supercharge Edge AI With High‑Accuracy Reasoning Using NVIDIA Nemotron Nano 2 9B

📢 NVIDIA Releases Nemotron-CC-Math Pre-Training Dataset: A High-Quality, Web-Scale Math Corpus for Pretraining Large Language Models

NVIDIA Releases Improved Pretraining Dataset: Preserves High Value Math & Code, and Augments with Multi-Lingual

NVIDIA Releases 3 Million Sample Dataset for OCR, Visual Question Answering, and Captioning Tasks

Measuring Open-Source Llama Nemotron Models on DeepResearch Bench

Accelerate a World of LLMs on Hugging Face with NVIDIA NIM

OpenReasoning-Nemotron: A Family of State-of-the-Art Distilled Reasoning Models

Llama-NeMoRetriever-ColEmbed: Developer-Focused Guide to NVIDIA's State-of-the-Art Text-Image Retrieval

Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub

Introducing Cosmos Predict-2: A Foundation For Your Own World Model

Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm

Supercharge Edge AI with High Accuracy Reasoning Using Llama Nemotron Nano 4B

Nemotron-Personas: Improve AI Training With the First Synthetic Personas Dataset Aligned to Real-World Distributions

Explore, Build, and Innovate AI Reasoning with NVIDIA’s Open Models and Recipes

Mastering Long Contexts in LLMs with KVPress

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nvidia 's papers 159

Submitted by

taesiri

OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

nvidia

Submitted by

Min-Hung Chen

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

nvidia

Submitted by

Ankit Goyal

VLA-0: Building State-of-the-Art VLAs with Zero Modification

nvidia

Submitted by

Wei Huang

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

nvidia

Submitted by

Min-Hung Chen

TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

nvidia

2

Submitted by

Jay Wu

ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

nvidia

Submitted by

Shizhe Diao

BroRL: Scaling Reinforcement Learning via Broadened Exploration

nvidia

Submitted by

Wu Chengyue

Fast-dLLM v2: Efficient Block-Diffusion LLM

nvidia

Submitted by

Han Cai

DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder

nvidia

Submitted by

Han Cai

DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space

nvidia

Submitted by

taesiri

Pretraining Large Language Models with NVFP4

nvidia

Submitted by

Yuyang

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer

nvidia