Showing 2 open source projects for "private cloud"

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    Secure File Transfer for Windows with Cerberus by Redwood

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  • Save Up to 91% on Cloud Compute With Spot VMs Icon
    Save Up to 91% on Cloud Compute With Spot VMs

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  • 1
    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
    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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