Accelerate post-training of end-to-end autonomous vehicle stacks with vector search and retrieval for large video datasets.
Securely extract, embed, and index multimodal data with encryption in-use for fast, accurate semantic search.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Sensor-captured radio enables real-time awareness, AI-driven analytics for actionable, searchable insights.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
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.
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.
Orchestrate AI agents for data flywheel with MLRun and NVIDIA NeMo microservices.
State-of-the-art open model trained on open datasets, excelling in reasoning, math, and science.
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
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.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
Investigate, understand, and interpret single cell data in minutes, not days by leveraging RAPIDS-singlecell, powered by NVIDIA RAPIDS
Generate exponentially large amounts of synthetic motion trajectories for robot manipulation from just a few human demonstrations.
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 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.
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.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Sovereign AI model finetuned on Traditional Mandarin and English data using the Llama-3 architecture.
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
