Showing 4 open source projects for "network fast"

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  • 1
    HD DRiVE-iNFO

    HD DRiVE-iNFO

    HD DRiVE-iNFO displays hdd and advanced output at Windows command line

    HD DRiVE-iNFO displays hdd data in simple output at Windows command line / shell (4NT and TCC), which is required for running. Some customization options and plain output for easy/fast reading of your system status. It also displays number of advanced info for those that need/require it. Main features: Displays local hdd's, networked drives, cd/dvd/bluray's, usb connected devices. Also displays additional info from all these different storage devices (dvd layers, network write access, usb device detection, etc)
    Downloads: 0 This Week
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  • 2
    EventMachine

    EventMachine

    EventMachine, fast, simple event-processing library for Ruby programs

    EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique...
    Downloads: 0 This Week
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  • 3
    Lioness (Languages Interop Framework)
    Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
    Downloads: 0 This Week
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  • 4
    Construct and management virtual clusters which the nodes of the clusters running on the virtual machine rather than native machine. Fast install and switch virtual clusters. Efficiently storage vm images. support variant VMMs.
    Downloads: 0 This Week
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

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