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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 111 results
    NVIDIA
    NVIDIA
    TAO Toolkit
    Docker containers distributed as part of the TAO Toolkit package
    Container
    NVIDIA
    NVIDIA
    PyTorch
    PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
    Container
    NVIDIA
    NVIDIA
    RAPIDS Notebooks
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    NVIDIA
    NVIDIA
    vLLM
    vLLM is a fast and easy-to-use library for LLM inference and serving. The NVIDIA vLLM NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
    Container
    Allegro AI
    Allegro Trains Agent
    Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
    Container
    NVIDIA
    NVIDIA
    RAPIDS Base
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    NVIDIA
    NVIDIA
    Dynamo vLLM Runtime
    The Dynamo vLLM runtime image is a containerized build of Dynamo + vLLM which serves as the base runtime environment for vLLM based inference with Dynamo's distributed inference framework.
    Container
    Open Source
    rapidsai/rapidsai
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    NVIDIA
    NVIDIA
    Dynamo Tensorrt-LLM Runtime
    The Dynamo TensorRT-LLM runtime image is a containerized build of Dynamo + TensorRT-LLM which serves as the base runtime environment for tensorrt-llm based inference with Dynamo's distributed inference framework.
    Container
    NVIDIA
    NVIDIA
    Dynamo Platform
    A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
    Helm Chart
    Open Source
    rapidsai/rapidsai-core
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    NVIDIA
    NVIDIA
    Dynamo SGLang Runtime
    The Dynamo SGLang runtime image is a containerized build of Dynamo + SGLang which serves as the base runtime environment for sglang based inference with Dynamo's distributed inference framework.
    Container
    NVIDIA
    NVIDIA
    Dynamo kubernetes-operator
    kubernetes-operator is a container that runs as part of the Dynamo cloud platform. Dynamo cloud is a kubernetes platform for deploying and managing inference services. This container manages the lifecycle of Dynamo inference deployments in kubernetes.
    Container
    NVIDIA
    NVIDIA
    Kaldi
    Kaldi is an open-source software framework for speech processing.
    Container
    NVIDIA
    NVIDIA
    Merlin PyTorch
    The Merlin PyTorch container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch, and serve the trained model on Triton Inference Server.
    Container
    NVIDIA
    NVIDIA
    DGL
    Deep Graph Library (DGL) is a Python package built for the implementation and training of graph neural networks on top of existing DL frameworks. The DGL NGC Container is built with the latest versions of DGL, PyTorch, and their dependencies.
    Container
    NVIDIA
    NVIDIA
    Morpheus
    NVIDIA Morpheus is an open AI application framework for cybersecurity developers.
    Container
    NVIDIA
    NVIDIA
    Dynamo CRDs
    A Helm chart that manages Custom Resource Definitions (CRDs) for the NVIDIA Dynamo ecosystem in Kubernetes
    Helm Chart
    NVIDIA
    NVIDIA
    Dynamo Frontend
    The Dynamo frontend image is a framework-less image which contains core Dynamo components along with Endpoint Picker (EPP) for Gateway API Inference Extension (GAIE).
    Container
    NVIDIA
    NVIDIA
    Multi-AI Sample App Data
    Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
    Resource
    NVIDIA
    NVIDIA
    SGLang
    SGLang is a fast serving framework for large language models and vision language models. The NVIDIA SGLang NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
    Container
    NVIDIA
    NVIDIA
    MONAI Toolkit
    MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
    Container
    NVIDIA Developer Program
    NVIDIA
    NVIDIA
    DoMINO-Automotive-Aero NIM
    This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
    Container
    NVIDIA
    NVIDIA
    MLflow Triton Plugin
    The MLflow Triton plugin is for deploying your models from MLflow to Triton Inference Server.
    Container