NVIDIA

company

Verified

https://www.nvidia.com/

AI & ML interests

None defined yet.

Recent Activity

yeyu-nvidia published a model about 2 hours ago

nvidia/MiniMax-M2.7-DFlash

haoguo2000 updated a model about 5 hours ago

nvidia/Kimi-K2.6-DFlash

yeyu-nvidia updated a model about 8 hours ago

nvidia/MiniMax-M2.7-DFlash

View all activity

Papers

ASPIRE: Agentic /Skills Discovery for Robotics

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis

View all Papers

Articles

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

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 models 856

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

Image Segmentation • Updated Aug 8, 2022 • 12.8k • • 10

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

Image Segmentation • Updated Aug 6, 2022 • 18.2k • • 14

nvidia/mit-b4

Image Classification • Updated Aug 6, 2022 • 4.96k • 1

nvidia/mit-b2

Image Classification • Updated Aug 6, 2022 • 57.9k • • 7

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

Image Segmentation • Updated Aug 6, 2022 • 90k • • 45

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

Image Segmentation • Updated Aug 6, 2022 • 20.8k • • 4

nvidia/mit-b5

Image Classification • Updated Aug 6, 2022 • 16.8k • • 14

nvidia/mit-b1

Image Classification • Updated Aug 6, 2022 • 8.36k • • 4

nvidia/mit-b3

Image Classification • Updated Aug 6, 2022 • 28.5k • • 8

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

Image Segmentation • Updated Aug 6, 2022 • 103k • • 16

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

Image Segmentation • Updated Aug 6, 2022 • 213k • • 7

nvidia/tts_hifigan

Text-to-Speech • Updated Jun 29, 2022 • 103 • 40

nvidia/megatron-gpt2-345m

Updated Jan 4, 2022 • 25

nvidia/megatron-bert-uncased-345m

Updated Jan 4, 2022 • 7

nvidia/megatron-bert-cased-345m

Updated Jan 4, 2022 • 4

nvidia/qdqbert-base-uncased

Updated Dec 17, 2021 • 1