Showing 4 open source projects for "computing"

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  • 1
    Bun

    Bun

    Incredibly fast JavaScript runtime, bundler, test runner

    ...Bun is a new JavaScript runtime built from scratch to serve the modern JavaScript ecosystem. Bun starts fast and runs fast. It extends JavaScriptCore, the performance-minded JS engine built for Safari. As computing moves to the edge, this is critical. Bun provides a minimal set of highly optimized APIs for performing common tasks, like starting an HTTP server and writing files. Bun is a complete toolkit for building JavaScript apps, including a package manager, test runner, and bundler. Bun is designed as a drop-in replacement for Node.js. ...
    Downloads: 37 This Week
    Last Update:
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  • 2
    containerd

    containerd

    An open and reliable container runtime

    An industry-standard container runtime with an emphasis on simplicity, robustness and portability. As of February 28, 2019, containerd is officially a graduated project within the Cloud Native Computing Foundation, following Kubernetes, Prometheus, Envoy, and CoreDNS. We'd like to thank the amazing containerd community for making this all possible and we're excited for the future of the project. containerd is available as a daemon for Linux and Windows. It manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. ...
    Downloads: 7 This Week
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  • 3
    RunMat

    RunMat

    The Fast, Free, Modern MATLAB / Octave code runtime

    ...Its website positions RunMat as a drop-in engine for current codebases, with an OSS development model inviting contributors to inspect the code or build from source. Overall, the goal is to give researchers, students, and engineers a fast, portable runtime for numerical computing workloads.
    Downloads: 9 This Week
    Last Update:
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  • 4
    TensorRT

    TensorRT

    C++ library for high performance inference on NVIDIA GPUs

    ...TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost.
    Downloads: 20 This Week
    Last Update:
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