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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 113 results
    TAO Toolkit
    NVIDIA
    Docker containers distributed as part of the TAO Toolkit package
    Container
    PyTorch
    NVIDIA
    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
    RAPIDS Notebooks
    NVIDIA
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    vLLM
    NVIDIA
    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
    RAPIDS Base
    NVIDIA
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    Allegro Trains Agent
    Allegro AI
    Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
    Container
    Dynamo vLLM Runtime
    NVIDIA
    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
    rapidsai/rapidsai
    Open Source
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    Dynamo Tensorrt-LLM Runtime
    NVIDIA
    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
    Dynamo SGLang Runtime
    NVIDIA
    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
    Dynamo Platform
    NVIDIA
    A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
    Helm Chart
    rapidsai/rapidsai-core
    Open Source
    The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
    Container
    Dynamo kubernetes-operator
    NVIDIA
    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
    Kaldi
    NVIDIA
    Kaldi is an open-source software framework for speech processing.
    Container
    Merlin PyTorch
    NVIDIA
    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
    DGL
    NVIDIA
    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
    vllm-runtime-nightly
    NVIDIA
    The Dynamo vLLM runtime nightly 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 published at a nightly cadence.
    Container
    SGLang
    NVIDIA
    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
    sglang-runtime-nightly
    NVIDIA
    The Dynamo SGLang runtime nightly 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 which is published every night.
    Container
    Morpheus
    NVIDIA
    NVIDIA Morpheus is an open AI application framework for cybersecurity developers.
    Container
    Dynamo Frontend
    NVIDIA
    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
    Dynamo CRDs
    NVIDIA
    A Helm chart that manages Custom Resource Definitions (CRDs) for the NVIDIA Dynamo ecosystem in Kubernetes
    Helm Chart
    tensorrtllm-runtime-nightly
    NVIDIA
    The Dynamo TensorRT-LLM runtime nightly 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 published at a nightly cadence.
    Container
    MONAI Toolkit
    NVIDIA
    MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
    Container

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