NVIDIA

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Recent Activity

mmkrtchyan updated a dataset about 1 hour ago

nvidia/Granary-v2

imedennikov updated a model about 2 hours ago

nvidia/Nemotron-3-Diarization

fciannella updated a bucket about 4 hours ago

nvidia/nemotron-transcribe-storage

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Papers

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

AutoCompress: Automated Hardware-Guided Model Compression

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Articles

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

about 21 hours ago

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

about 21 hours ago

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

about 21 hours ago

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

about 21 hours ago

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

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 models 15

nvidia/segformer-b0-finetuned-ade-512-512

Image Segmentation • 3.75M • Updated Jan 14, 2024 • 277k • • 211

nvidia/segformer-b4-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Apr 24, 2023 • 2.64k • • 10

nvidia/segformer-b2-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Aug 9, 2022 • 13.2k • • 6

nvidia/segformer-b0-finetuned-cityscapes-512-1024

Image Segmentation • Updated Aug 9, 2022 • 5.53k • • 4

nvidia/segformer-b0-finetuned-cityscapes-640-1280

Image Segmentation • Updated Aug 9, 2022 • 343 • 3

nvidia/segformer-b0-finetuned-cityscapes-768-768

Image Segmentation • Updated Aug 9, 2022 • 490 • 2

nvidia/segformer-b1-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Aug 9, 2022 • 4.3k • • 22

nvidia/segformer-b3-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Aug 9, 2022 • 2.11k • • 8

nvidia/segformer-b5-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Aug 9, 2022 • 51.6k • • 49

nvidia/segformer-b0-finetuned-cityscapes-1024-1024

Image Segmentation • Updated Aug 8, 2022 • 13.1k • • 14

nvidia/segformer-b3-finetuned-ade-512-512

Image Segmentation • Updated Aug 6, 2022 • 137k • • 18

nvidia/segformer-b5-finetuned-ade-640-640

Image Segmentation • Updated Aug 6, 2022 • 56.5k • • 54

nvidia/segformer-b4-finetuned-ade-512-512

Image Segmentation • Updated Aug 6, 2022 • 42.7k • • 11

nvidia/segformer-b1-finetuned-ade-512-512

Image Segmentation • Updated Aug 6, 2022 • 39.6k • • 19

nvidia/segformer-b2-finetuned-ade-512-512

Image Segmentation • Updated Aug 6, 2022 • 149k • • 16