SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 11 results
    NVIDIA Developer Program
    The Llama 3.2 Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
    Container
    NVIDIA Developer Program
    The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
    Container
    Sample models, segmentations and videos from ORSI Academy to be used with Holoscan SDK
    Resource
    Data and model for the medical hyperspectral segmentation sample app.
    Resource
    PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
    Resource
    OneFormer is a unified AI model for multiple image segmentation tasks, including semantic, instance, and panoptic segmentation.
    Model
    People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
    Model
    IBM Corporation
    IBM Visual Insights
    IBM Visual Insights makes computer vision with deep learning more accessible to business users. The software includes an intuitive toolset that empowers subject matter experts to label, train, and deploy deep learning.
    Helm Chart
    OneFormer - a unified AI model for multiple image segmentation tasks - trained on commercial data.
    Model
    Collection
    NVIDIA DeepStream SDK enables developers to build accelerated pipelines for a wide range of use-cases such as IVA, retail, industrial inspection, and many more with minimal development effort.
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    Collection
    A collection of easy to use, highly optimized Deep Learning Models for Image Segmentation. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
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