Skip to main content

Search

Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 19 results

PaddleOCR is an ultra lightweight Optical Character Recognition (OCR) system by Baidu. PaddleOCR supports a variety of cutting-edge algorithms related to OCR.
Container
NVIDIA NIM for GPU accelerated Llama-3.2-3B-Instruct inference through OpenAI compatible APIs
Container
This container houses the Llama-3.2-1B-Instruct, a compact 1B parameter model from Meta AI fine-tuned for dialogue. It's designed to be highly efficient and accessible, making it adept at question answering, summarization, and other instructions.
Container
Please add descriptionNVIDIA NIM for GPU accelerated Mixtral-8x7B-Instruct-v0.1 inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
Container
This container houses the Mistral-7B-Instruct-v0.3, a large language model fine-tuned for instruction-based tasks. An improved version of Mistral-7B-v0.3, it is designed to be easily fine-tuned to achieve compelling performance.
Container
NVIDIA NIM for GPU accelerated Llama-3.3-Nemotron-Super-49B-v1 inference through OpenAI compatible APIs
Container
NVIDIA NeMo™ Retriever NIM for graphic elements v1 is a fine-tuned object detection model, trained specifically for detecting the elements of charts and tables in documents
Container
NVIDIA NeMo™ Retriever NIM for page elements v2 is a fine-tuned object detection model, trained specifically for detecting charts, tables, infographics, and titles on a document page.
Container
NVIDIA NeMo™ Retriever NIM for table structure v1 is a fine-tuned object detection model, trained specifically for detecting the structure of complex tables.
Container
Generates new protein structures (binder designs, motif scaffoldings, etc.)
Container
NVIDIA Maxine Eye Contact NIM leverages state-of-the-art AI models to dynamically redirect a user's eye position towards the camera in real-time to simulate natural eye contact and enhance remote digital engagement.
Container
NVIDIA NIM for GPU accelerated Llama-3.1-Nemotron-Nano-8B-v1 inference through OpenAI compatible APIs
Container
NVIDIA Active Speaker Detection NIM supports the detection and identification of multiple speakers in a video stream
Container
The Nemotron 3.5 Content Safety NIM container packages NVIDIA's small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal, multilingual, and reasoning-oriented content-safety datasets.
Container
Studio Voice NIM leverages state-of-the-art AI models to enhance the input speech recorded through low quality microphones in noisy and reverberant environments to studio-recorded quality speech.
Container
Background Noise Removal (BNR) model is an audio background noise removal model from NVIDIA. It removes a variety of background noises from audio recordings.
Container
NVIDIA Nemotron Parse v2.0 model is designed to understand document semantics and extract text and tables elements with spatial grounding.
Container
body-pose
NVIDIA
The 3D Body Pose NIM estimates 3D human body pose and skeleton from video input using GPU-accelerated inference. It processes video frames through a Triton Inference Server backend and returns pose estimation results via a gRPC streaming API.
Container
1-19 of 19 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.