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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 709 results
    DCGM Exporter
    NVIDIA
    Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.
    Container
    GPU Operator
    NVIDIA
    Deploy and Manage NVIDIA GPU resources in Kubernetes.
    Helm Chart
    Validator for NVIDIA GPU Operator
    NVIDIA
    Validates NVIDIA GPU Operator components
    Container
    TAO Toolkit
    NVIDIA
    Docker containers distributed as part of the TAO Toolkit package
    Container
    NVIDIA Container Toolkit
    NVIDIA
    Build and Run GPU Accelerated Docker Containers.
    Container
    NVIDIA GPU Operator
    NVIDIA
    Deploy and Manage NVIDIA GPU resources in Kubernetes.
    Container
    NVIDIA GPU Driver
    NVIDIA
    Provision NVIDIA GPU Driver as a Container
    Container
    cuda
    NVIDIA
    Container registry for CUDA images
    Container
    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
    NVIDIA GPU Feature Discovery for Kubernetes
    NVIDIA
    Plugin for the Kubernetes Node Feature Discovery for adding GPU node labels.
    Container
    DCGM
    NVIDIA
    Manage and Monitor GPUs in Cluster Environments.
    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
    NVIDIA Network Operator
    NVIDIA
    NVIDIA Network Operator Helm Chart provides an easy way to install, configure and manage the lifecycle of NVIDIA Mellanox network operator.
    Helm Chart
    TensorFlow
    Google
    TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.
    Container
    NeMo Framework Megatron Backend
    NVIDIA
    NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options.
    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
    Llama-3.1-70b-instruct PB October 2024 (PB 24h2)
    NVIDIA
    Llama 3.1 70B-Instruct NIM Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    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
    Llama-3.1-8b-instruct PB October 2024 (PB 24h2)
    NVIDIA
    NVIDIA NIM for GPU accelerated Llama 3.1 8B inference through OpenAI compatible APIs
    Container
    NVIDIA NIM Operator
    NVIDIA
    An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
    Container
    Llama-3.1-70b-instruct
    NVIDIA
    This container houses the Llama-3.1-70B-Instruct, which is a multilingual large language model from the Meta Llama 3.1 collection of pretrained and instruction-tuned generative models.
    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
    Llama-3.1-8B-Instruct
    NVIDIA
    NVIDIA NIM for GPU accelerated Llama-3.1-8B-Instruct inference through OpenAI compatible APIs
    Container
    Parakeet 0.6b CTC en-US NIM
    NVIDIA
    Parakeet 0.6b CTC en-US NIM delivers accurate English speech-to-text transcription and enables easy-to-use optimized ASR inference for large scale deployments.
    Container
    ...

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