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  • Displaying 16 results
    cuda
    NVIDIA
    Container registry for CUDA images
    Container
    CUDA Deep Learning
    NVIDIA
    CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
    Container
    DiffDock
    MIT
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    NVIDIA Semantic Split C-RADIO (Video)
    NVIDIA
    Semantic Split C-RADIO NIM for content-aware semantic video splitting of raw long-form videos.
    Container
    CUDA Deep Learning PB October 2025 (PB25h2)
    NVIDIA
    CUDA DL Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
    Container
    DLPP
    NVIDIA
    DLPP is a family of lightweight deep-learning networks trained for video post-processing. The model's introduction can be found at https://blogs.nvidia.com/blog/rtx-video-super-resolution/. To the public, it is also known as RTX VSR.
    Model
    CUDA Deep Learning May 2025 (PB25h1)
    Nvidia
    CUDA Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release is a branch of CUDA DL 25.03.
    Container
    CUDA Deep Learning Production Branch 6
    NVIDIA
    CUDA DL Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
    Container
    PyNvVideoCodec
    NVIDIA
    PyNVVideoCodec (Python NVIDIA Video Codec) is a set of python APIs for hardware accelerated video decoding and encoding.
    Resource
    FoundationPose
    NVIDIA
    FoundationPose is a unified foundation model for 6D object pose estimation and tracking of objects.
    Model
    PyNvVideoCodec
    NVIDIA
    PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
    Resource
    Earth-2 FourCastNet 3
    NVIDIA
    FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
    Model
    SyntheticaDETR
    NVIDIA
    SytheticaDETR is a real-time object detection model based on a transformer architecture trained entirely in simulation and works on real images zero-shot.
    Model
    NVSaliENC
    NVIDIA
    NVSaliENC uses deep learning-based saliency maps to optimize perceptual video quality in real time, prioritizing visually important regions for efficient, bandwidth-saving compression with NVENC integration.
    Model
    CUDA Toolkit
    NVIDIA
    CUDA Toolkit provides the core, foundational development environment for creating high performance NVIDIA GPU-accelerated applications for diverse workloads from high performance computing, data science analytics and AI.
    Collection
    Deep Learning Frameworks
    NVIDIA
    This collection contains performance-optimized Deep Learning frameworks.
    Collection

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