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Showing 4 open source projects for "hardware"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 1
    SeaBreeze

    SeaBreeze

    Open-source cross-platform spectrometer device driver

    SeaBreeze is a device driver library that provides an interface to select Ocean Optics spectrometers. It is written in C/C++ and builds and runs on Windows (XP/7/8), MacOSX, and Linux (x86/x64/ARM).
    Downloads: 4 This Week
    Last Update:
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  • 2
    Ocean Optics Sample Pack

    Ocean Optics Sample Pack

    Sample code for Ocean Optics OmniDriver spectrometer device driver

    Sample code demonstrating how to use OmniDriver to drive Ocean Optics full range of spectrometers from C, C++, C#, Java, LabVIEW, Delphi, MATLAB and more.
    Downloads: 0 This Week
    Last Update:
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  • 3
    DArmstadt MAgnetic Resonance Instrument Software
    Downloads: 0 This Week
    Last Update:
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  • 4
    The C Protein Folding Library is a minimalistic, high-performance modular library of C functions and data structures for computing folding simulations of proteins on a wide variety of computer hardware.
    Downloads: 0 This Week
    Last Update:
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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.

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