Multi-modal vision-language model that understands text/img/video and creates informative responses

Generates physics-aware video world states from text and image prompts for physical AI development.

Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.

SAM 2 is a segmentation model that enables fast, precise selection of any object in any video or image.

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.

Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.

Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.

Advanced AI model detects faces and identifies deep fake images.

Efficiently refine retrieval results over multiple sources and languages.

World-class multilingual and cross-lingual question-answering retrieval.

Create intelligent virtual assistants for customer service across every industry

Shutterstock Generative 3D service for 360 HDRi generation. Trained on NVIDIA Edify using Shutterstock’s licensed creative libraries.

Cutting-edge vision-language model exceling in high-quality reasoning from images.

Cutting-edge vision-Language model exceling in high-quality reasoning from images.

Multi-modal vision-language model that understands text/img/video and creates informative responses

Robust image classification model for detecting and managing AI-generated content.

Ingest and extract highly accurate insights contained in text, graphs, charts, and tables within massive volumes of PDF documents.

NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.

An enterprise-grade text-to-image model trained on a compliant dataset produces high quality images.

Vision foundation model capable of performing diverse computer vision and vision language tasks.

AI-powered search for OpenUSD data, 3D models, images, and assets using text or image-based inputs.

Shutterstock Generative 3D service for 3D asset generation. Trained on NVIDIA Edify using Shutterstock’s licensed creative libraries

Getty Images’ API service for 4K image generation. Trained on NVIDIA Edify using Getty Images' commercially safe creative libraries.

English text embedding model for question-answering retrieval.

Multilingual text question-answering retrieval, transforming textual information into dense vector representations.

MAISI is a pre-trained volumetric (3D) CT Latent Diffusion Generative Model.

NV-CLIP is a multimodal embeddings model for image and text.

Advanced text-to-image model for generating high quality images

OCDNet and OCRNet are pre-trained models designed for optical character detection and recognition respectively.

Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.

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.

Cutting-edge open multimodal model exceling in high-quality reasoning from images.

Vision language model adept at comprehending text and visual inputs to produce informative responses

GPU-accelerated generation of text embeddings used for question-answering retrieval.

GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.

Groundbreaking multimodal model designed to understand and reason about visual elements in images.

Multi-modal vision-language model that understands text/images and generates informative responses

Multi-modal model for a wide range of tasks, including image understanding and language generation.

VISTA-3D is a specialized interactive foundation model for segmenting and anotating human anatomies.

Stable Video Diffusion (SVD) is a generative diffusion model that leverages a single image as a conditioning frame to synthesize video sequences.

A fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation