
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.

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.

Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.

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.

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

Multimodal question-answer retrieval representing user queries as text and documents as images.

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

FLUX.1-schnell is a distilled image generation model, producing high quality images at fast speeds

Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses

FLUX.1 is a state-of-the-art suite of image generation models

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

The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.

Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.

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

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.

Advanced AI model detects faces and identifies deep fake images.

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.

English text embedding model for question-answering retrieval.

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

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

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.

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