Showing 3 open source projects for "cluster"

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  • Easily Host LLMs and Web Apps on Cloud Run Icon
    Easily Host LLMs and Web Apps on Cloud Run

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    BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
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  • 1
    Kong

    Kong

    The Cloud-Native API Gateway

    Kong is a next generation cloud-native API platform for multi-cloud and hybrid organizations. When building for the web, mobile, or Internet of Things, you’ll need a common functionality to run your software, and Kong is that solution. Kong acts as a gateway, connecting microservices requests and APIs natively while also providing load balancing, logging, monitoring, authentication, rate-limiting, and so much more through plugins. Kong is highly extensible as well as platform agnostic,...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Orange

    Orange

    OpenResty/Nginx Gateway for API monitoring and management

    A Gateway based on OpenResty(Nginx + Lua) for API Monitoring and Management. We recommend that you use luarocks to install Orange to reduce problems caused by dependency extensions in different operating system releases. System dependencies (openresty, resty-CLI, luarocks, etc.) are necessary to install Orange on different operating systems. By default, a Dashboard is provided to manage all Orange plugin data. All Orange's plugins have open APIs that can be used to achieve more personalized...
    Downloads: 0 This Week
    Last Update:
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  • 3

    neuranep

    Neural Network Engineering Platform

    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. ...
    Downloads: 0 This Week
    Last Update:
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