Reasoning vision language model (VLM) for physical AI and robotics.
Lightweight reasoning model for applications in latency bound, memory/compute constrained environments
Multi-modal vision-language model that understands text/img and creates informative responses
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Run computational-fluid dynamics (CFD) simulations
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.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Multi-modal vision-language model that understands text/img/video and creates informative responses
This NVIDIA Omniverseâ„¢ Blueprint demonstrates how commercial software vendors can create interactive digital twins.
Advanced AI model detects faces and identifies deep fake images.
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Cutting-edge vision-language model exceling in high-quality reasoning from images.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Robust image classification model for detecting and managing AI-generated content.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Grounding dino is an open vocabulary zero-shot object detection model.
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.
