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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 150 results
    Triton Inference Server
    NVIDIA
    Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
    Container
    TensorRT LLM Release
    NVIDIA
    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    Container
    TensorRT
    NVIDIA
    NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.
    Container
    DeepStream
    NVIDIA
    DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise 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
    NVIDIA NIM Operator
    NVIDIA
    An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
    Container
    NVIDIA NIM for GenMol
    Nvidia
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    Riva Speech Skills
    NVIDIA
    Riva Speech Skills is a scalable Conversational AI service platform.
    Container
    DiffDock
    MIT
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    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
    DeepStream-l4t
    NVIDIA
    DeepStream SDK delivers a complete streaming analytics toolkit for real-time AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Jetson platform.
    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
    CUDA GL
    NVIDIA
    CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to include OpenGL support through libglvnd.
    Container
    NVIDIA L4T TensorRT
    NVIDIA
    NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.
    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
    TensorRT LLM Develop
    NVIDIA
    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    Container
    NVIDIA NIM Operator
    NVIDIA
    Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
    Helm Chart
    nemotron-3.5-lightning
    NVIDIA
    NVIDIA-Nemotron-3.5-Lightning-30B-A3B is a large language model (LLM) trained by NVIDIA. The model employs a hybrid Mixture-of-Experts architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers.
    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
    NVIDIA MLPerf Inference
    NVIDIA
    MLPerf Inference containers are base containers for people interested in NVIDIA's MLPerf Inference submission results
    Container
    Riva Speech Skills
    NVIDIA
    Riva Speech Skills Helm Chart
    Helm Chart
    aiperf
    NVIDIA
    AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution. It provides detailed metrics using a command line display as well as extensive benchmark performance reports.
    Container

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