StreamPETR offers efficient 3D object detection for autonomous driving by propagating sparse object queries temporally.
Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows
Build advanced AI agents for providers and patients using this developer example powered by NeMo Microservices, NVIDIA Nemotron, Riva ASR and TTS, and NVIDIA LLM NIM
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Nemotron Nano 12B v2 VL enables multi-image and video understanding, along with visual Q&A and summarization capabilities.
Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs
Securely extract, embed, and index multimodal data with encryption in-use for fast, accurate semantic search.
Record-setting accuracy and performance for Mandarin Taiwanese English transcriptions.
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Japanese-specialized large-language-model for enterprises to read and understand complex business documents.
Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.
Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities
State-of-the-art model for Polish language processing tasks such as text generation, Q&A, and chatbots.
80B parameter AI model with hybrid reasoning, MoE architecture, support for 119 languages.
Record-setting accuracy and performance for Mandarin English transcriptions.
Accurate and optimized Spanish English transcriptions with punctuation and word timestamps.
Accurate and optimized Vietnamese-English transcriptions with punctuation and word timestamps.
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
Excels in agentic coding and browser use and supports 256K context, delivering top results.
Elevate Shopping Experiences Online and In Stores.
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
Stable Diffusion 3.5 is a popular text-to-image generation model
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.
Reasoning vision language model (VLM) for physical AI and robotics.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Smaller Mixture of Experts (MoE) text-only LLM for efficient AI reasoning and math
Mixture of Experts (MoE) reasoning LLM (text-only) designed to fit within 80GB GPU.
Accurate and optimized English transcriptions with punctuation and word timestamps
Sensor-captured radio enables real-time awareness, AI-driven analytics for actionable, searchable insights.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Lightweight reasoning model for applications in latency bound, memory/compute constrained environments
State-of-the-art open mixture-of-experts model with strong reasoning, coding, and agentic capabilities
High performance reasoning model optimized for efficiency and edge deployment
Expressive and engaging text-to-speech, generated from a short audio sample.
Translation model in 12 languages with few-shots example prompts capability.
Multi-modal model to classify safety for input prompts as well output responses.
Enable smooth global interactions in 36 languages.
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Removes unwanted noises from audio improving speech intelligibility.
Multimodal question-answer retrieval representing user queries as text and documents as images.
Built for agentic workflows, this model excels in coding, instruction following, and function calling
Use the multi-LLM compatible NIM container to deploy a broad range of LLMs from Hugging Face.
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Updated version of DeepSeek-R1 with enhanced reasoning, coding, math, and reduced hallucination.
Multi-modal vision-language model that understands text/img and creates informative responses
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
State-of-the-art open model trained on open datasets, excelling in reasoning, math, and science.
Expressive and engaging text-to-speech, generated from a short audio sample.
Small language model fine-tuned for improved reasoning, coding, and instruction-following
Advanced reasoing MOE mode excelling at reasoning, multilingual tasks, and instruction following
FLUX.1-schnell is a distilled image generation model, producing high quality images at fast speeds
State-of-the-art, multilingual model tailored to all 24 official European Union languages.
SOTA LLM pre-trained for instruction following and proficiency in Indonesian language and its dialects.
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
High accuracy and optimized performance for transcription in 25 languages
FLUX.1 is a state-of-the-art suite of image generation models
Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Build a custom enterprise research assistant powered by state-of-the-art models that process and synthesize multimodal data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Leading reasoning and agentic AI accuracy model for PC and edge.
Natural and expressive voices in multiple languages. For voice agents and brand ambassadors.
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
A lightweight, multilingual, advanced SLM text model for edge computing, resource constraint applications
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Distilled version of Qwen 2.5 32B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 14B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 7B using reasoning data generated by DeepSeek R1 for enhanced performance.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
Robust Speech Recognition via Large-Scale Weak Supervision.
Multi-lingual model supporting speech-to-text recognition and translation.
Latency-optimized language model excelling in code, math, general knowledge, and instruction-following.
State-of-the-art, high-efficiency LLM excelling in reasoning, math, and coding.
Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
Industry leading jailbreak classification model for protection from adversarial attempts
Leading content safety model for enhancing the safety and moderation capabilities of LLMs
NVIDIA DGX Cloud trained multilingual LLM designed for mission critical use cases in regulated industries including financial services, government, heavy industry
Instruction tuned LLM achieving SoTA performance on reasoning, math and general knowledge capabilities
Multilingual LLM with emphasis on European languages supporting regulated use cases including financial services, government, heavy industry
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
Automate voice AI agents with NVIDIA NIM microservices and Pipecat.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM.
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.
Multi-modal vision-language model that understands text/img/video and creates informative responses
Advanced LLM for code generation, reasoning, and fixing across popular programming languages.
Powerful mid-size code model with a 32K context length, excelling in coding in multiple languages.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Advanced LLM for reasoning, math, general knowledge, and function calling
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Converts streamed audio to facial blendshapes for realtime lipsyncing and facial performances.
FourCastNet predicts global atmospheric dynamics of various weather / climate variables.
Advanced AI model detects faces and identifies deep fake images.
A bilingual Hindi-English SLM for on-device inference, tailored specifically for Hindi Language.
Detects jailbreaking, bias, violence, profanity, sexual content, and unethical behavior
Sovereign AI model trained on Japanese language that understands regional nuances.
Sovereign AI model trained on Japanese language that understands regional nuances.
Enhance speech by correcting common audio degradations to create studio quality speech output.
Leaderboard topping reward model supporting RLHF for better alignment with human preferences.
Advanced state-of-the-art small language model with language understanding, superior reasoning, and text generation.
Cutting-edge vision-language model exceling in high-quality reasoning from images.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Advanced state-of-the-art small language model with language understanding, superior reasoning, and text generation.
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Fine-tuned Llama 3.1 70B model for code generation, summarization, and multi-language tasks.
Predicts the 3D structure of a protein from its amino acid sequence.
Robust image classification model for detecting and managing AI-generated content.
Predicts the 3D structure of a protein from its amino acid sequence.
Sovereign AI model finetuned on Traditional Mandarin and English data using the Llama-3 architecture.
Sovereign AI model trained on Japanese language that understands regional nuances.
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Cutting-edge MOE based LLM designed to excel in a wide array of generative AI tasks.
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
Grounding dino is an open vocabulary zero-shot object detection model.
Enable smooth global interactions in 36 languages.
Record-setting accuracy and performance for English transcription.
State-of-the-art accuracy and speed for English transcriptions.
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Guardrail model to ensure that responses from LLMs are appropriate and safe
Advanced small language generative AI model for edge applications
Estimate gaze angles of a person in a video and redirect to make it frontal.
Verify compatibility of OpenUSD assets with instant RTX render and rule-based validation.
Supports Chinese and English languages to handle tasks including chatbot, content generation, coding, and translation.
Model for writing and interacting with code across a wide range of programming languages and tasks.
Support Chinese and English chat, coding, math, instruction following, solving quizzes
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
Advanced state-of-the-art model with language understanding, superior reasoning, and text generation.
Multilingual text reranking model.
English text embedding model for question-answering retrieval.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
Advanced programming model for code completion, summarization, and generation
Cutting-edge text generation model text understanding, transformation, and code generation.
Advanced LLM to generate high-quality, context-aware responses for chatbots and search engines.
This LLM follows instructions, completes requests, and generates creative text.
Advanced text-to-image model for generating high quality images
Generates high-quality numerical embeddings from text inputs.
Excels in NLP tasks, particularly in instruction-following, reasoning, and mathematics.
LLM for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese.
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
EfficientDet-based object detection network to detect 100 specific retail objects from an input video.
A generative model of protein backbones for protein binder design.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
Long context cutting-edge lightweight open language model exceling in high-quality reasoning.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
LLM to represent and serve the linguistic and cultural diversity of Southeast Asia
Lightweight, state-of-the-art open LLM with strong math and logical reasoning skills.
Optimized community model for text embedding.
Lightweight, state-of-the-art open LLM with strong math and logical reasoning skills.
An MOE LLM that follows instructions, completes requests, and generates creative text.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
This LLM follows instructions, completes requests, and generates creative text.
An MOE LLM that follows instructions, completes requests, and generates creative text.
