NVIDIA

company

Verified

https://www.nvidia.com/

AI & ML interests

None defined yet.

Recent Activity

sdevare-nvidia published a dataset 12 minutes ago

nvidia/Nemotron-SFT-SWE-v3.5

yfw published a dataset 14 minutes ago

nvidia/Nemotron-RL-Lightning-Training-Blend

yfw updated a dataset 14 minutes ago

nvidia/Nemotron-RL-Lightning-Training-Blend

View all activity

Papers

Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation

Addressable Memory for Video World Models

View all Papers

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

View all articles

nvidia 's papers 157

Submitted by

Zhaowei Wang

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

nvidia

Submitted by

Haoyi Zhu

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

nvidia

Submitted by

taesiri

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation

nvidia

Submitted by

Elad Hoffer

Retrieval from Within: An Intrinsic Capability of Attention-Based Models

nvidia

Submitted by

taesiri

Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding

nvidia

2

Submitted by

Amala Sanjay Deshmukh

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

nvidia

2

Submitted by

Moshe kimhi

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips

nvidia

Submitted by

taesiri

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

nvidia

Submitted by

taesiri

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

nvidia

7

Submitted by

Rishit Dagli

RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies

nvidia

Submitted by

taesiri

Lyra 2.0: Explorable Generative 3D Worlds

nvidia

Submitted by

Ghosh

Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

nvidia

2