DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
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.
Record-setting accuracy and performance for Mandarin English transcriptions.
Transform your scene idea into ready-to-use 3D assets using Llama 3.1 8B, NV SANA, and Microsoft TRELLIS
Excels in agentic coding and browser use and supports 256K context, delivering top results.
Elevate Shopping Experiences Online and In Stores.
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.
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.
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
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
Translation model in 12 languages with few-shots example prompts capability.
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
Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
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.
Streamline evaluation, monitoring, and optimization of AI data flywheel with Weights & Biases.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
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.
State-of-the-art model for Polish language processing tasks such as text generation, Q&A, and chatbots.
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.
FLUX.1-schnell is a distilled image generation model, producing high quality images at fast speeds
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
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.
High accuracy and optimized performance for transcription in 25 languages
Create high quality images using Flux.1 in ComfyUI, guided by 3D.
FLUX.1 is a state-of-the-art suite of image generation models
Build a custom deep researcher powered by state-of-the-art models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Investigate, understand, and interpret single cell data in minutes, not days by leveraging RAPIDS-singlecell, powered by NVIDIA RAPIDS
Easily run essential genomics workflows to save time leveraging Parabricks
Run computational-fluid dynamics (CFD) simulations
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
Simulate, test, and optimize physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
Natural and expressive voices in multiple languages. For voice agents and brand ambassadors.
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.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
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.
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.
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
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Generate detailed, structured reports on any topic using LangGraph and Llama3.3 70B NIM.
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.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
FourCastNet predicts global atmospheric dynamics of various weather / climate variables.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Create intelligent virtual assistants for customer service across every industry
A bilingual Hindi-English SLM for on-device inference, tailored specifically for Hindi Language.
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.
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.
Predicts the 3D structure of a protein from its amino acid sequence.
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.
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.
State-of-the-art accuracy and speed for English transcriptions.
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.
Model for writing and interacting with code across a wide range of programming languages and tasks.
Advanced state-of-the-art model with language understanding, superior reasoning, and text generation.
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
English text embedding model for question-answering retrieval.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
Advanced LLM to generate high-quality, context-aware responses for chatbots and search engines.
Leading LLM for accurate, contextually relevant responses in the medical domain.
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.
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.
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.
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
An MOE LLM that follows instructions, completes requests, and generates creative text.
