NVIDIA

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https://www.nvidia.com/

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Recent Activity

goarushi27 updated a model about 1 hour ago

nvidia/nemotron-labs-audio-visual-flamingo-hf

kierandidi updated a Space about 3 hours ago

nvidia/rfd4-proteina-zerogpu

fciannella updated a bucket about 12 hours ago

nvidia/nemotron-transcribe-storage

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Papers

TTB: Test-time Baking for Efficient Rendering of Decoder-only View Synthesis Models

BirdDreams: Joint Perspective and BEV Video Generation for a Plausible, Reactive Driving World Model

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Articles

Build a Robot Pick-and-Place Simulation with SimReady Assets

Evaluating Privacy Protection and Practical AI Applications with 100,000 Synthetic Business Documents Across Eight Domains

Nemotron-Personas-Finance-Japan: A Synthetic Dataset Capturing Japan's Demographics and Financial Context

Nemotron PII Japan: プライバシー保護に向けた日本語PIIオープンデータ

Nemotron-Personas-Finance-Japan: 日本の人口分布と金融コンテキストを捉える合成ペルソナデータセット

New NVIDIA Cosmos 3 Open Models for Interactive World Simulation

nemotron-halloween

NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt

NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0

NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability

NVIDIA Kumo Anomaly Brings Diffusion-Based Anomaly Detection to Multivariate Time Series

Protein Design with RFD4-Proteina and Hugging Face Spaces

Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories

NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models

NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation

Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

about 1 month ago

Fine-Tune ASR for Your Domain with NVIDIA Speech Agent Skills

One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO

NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction

How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization

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 206

Submitted by

Chin-Yang Lin

TTB: Test-time Baking for Efficient Rendering of Decoder-only View Synthesis Models

nvidia

Submitted by

Junyoung Seo

BirdDreams: Joint Perspective and BEV Video Generation for a Plausible, Reactive Driving World Model

nvidia

3

Submitted by

Peter Belcak

CPU-ARC: Agentic Reasoning Caching for on-CPU Reasoning Reuse

nvidia

Submitted by

Sheldon Liang

AutoCompress: Automated Hardware-Guided Model Compression

nvidia

3

Submitted by

taesiri

VFlash: Fast, Accurate Visual Planning via Flash Primitive Decoding

nvidia

Submitted by

Peter Belcak

You don't need long context

nvidia

Submitted by

Zili Wang

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

nvidia

2

Submitted by

Shantanu Acharya

Dory1.0-4B: A Looped Normalized-GPT

nvidia

2

Submitted by

Chaehyun Kim

ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning

nvidia

Submitted by

Shufan Li

Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation

nvidia

Submitted by

Junlong Li

AgentBaton: Efficient Model Collaboration in Agentic Tasks

nvidia

4

Submitted by

johan bjorck

FLORA: An Open Model Suite for Scaling Robotics Data Engines

nvidia