Showing 3 open source projects for "linux nvidia"

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    NVIDIA AI Cluster Runtime (AICR)

    NVIDIA AI Cluster Runtime (AICR)

    Tooling for optimized and reproducible GPU-accelerated AI runtime

    NVIDIA AI Cluster Runtime (AICR) is an emerging project within NVIDIA’s AI infrastructure ecosystem focused on enabling advanced AI compute and runtime workflows, though publicly available documentation remains limited. Based on its positioning within NVIDIA’s repositories, it is designed to support scalable AI runtime environments, potentially addressing challenges related to orchestration, resource management, or reproducible AI execution. The project likely aligns with NVIDIA’s broader...
    Downloads: 15 This Week
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  • 2
    NVIDIA GPU Operator

    NVIDIA GPU Operator

    NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

    Kubernetes provides access to special hardware resources such as NVIDIA GPUs, NICs, Infiniband adapters and other devices through the device plugin framework. However, configuring and managing nodes with these hardware resources requires the configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA...
    Downloads: 2 This Week
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  • 3
    JAX Toolbox

    JAX Toolbox

    Public CI, Docker images for popular JAX libraries

    JAX Toolbox is a development toolkit designed to streamline and optimize the use of JAX for machine learning and high-performance computing on NVIDIA GPUs. It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA...
    Downloads: 1 This Week
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