4 projects for "linux mini" with 2 filters applied:

  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    Another YouTube Downloader
    Cross browser userscript to download videos from YouTube in various formats and sizes available. Find size of videos before downloading (http://pradip.x10.mx/index.php/download-details/36/Helper) Check Readme.txt in Files section for installation instructions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    SPBLinux: modular mini distribution running completely in RAM, can be booted from USB, based on Busybox and Midnight Commander, optional with DirectFB and (since version 2.1) Mozilla; it is possible to create/modify own modules inside SPBLinux.
    Downloads: 0 This Week
    Last Update:
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  • 3
    MvpdMake is a GUI wrapper around mplayer, mencoder, sox, and mv_encoder to convert video files to the MoviePod (.mvpd) video format to be played by mv_player under iPodLinux on your iPod Nano, iPod Mini or iPod Photo.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    A collection of tools (framebuffer driver, tv out, directfb driver) for console framebuffer graphics on VIA's EPIA mini-ITX motherboard.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 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.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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