Showing 3 open source projects for "private cloud"

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    LiteRT-LM

    LiteRT-LM

    LiteRT-LM is Google's production-ready inference framework

    ...It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM is especially relevant for developers building private, low-latency AI features on phones, laptops, Raspberry Pi-style devices, and other edge hardware. Its goal is to make modern language models usable in local applications with a consistent deployment stack.
    Downloads: 11 This Week
    Last Update:
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  • 2
    LibrePhotos

    LibrePhotos

    A self-hosted open source photo management service

    LibrePhotos is an open-source self-hosted photo management platform designed to organize, browse, and analyze personal media libraries while preserving user privacy. The system allows individuals to store and manage their photos and videos locally rather than relying on commercial cloud services. It provides features similar to services like Google Photos but runs on a private server controlled by the user. The application includes AI-powered tools that automatically analyze images to detect faces, objects, and locations, allowing photos to be grouped and searched more efficiently. LibrePhotos supports a wide variety of media formats and provides a web interface that can be accessed from different devices and operating systems. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    OneFlow

    OneFlow

    OneFlow is a deep learning framework designed to be user-friendly

    ...Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud.
    Downloads: 0 This Week
    Last Update:
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