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    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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  • 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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    Cross Platform Node Guide

    Cross Platform Node Guide

    Improve front-end engineer workflow & standard, powered by TypeScript

    ...Feflow (pronounced /ˈfefləʊ/) is a front-end flow and rule tool to improve engineering efficiency., and is hosted on Github: feflow. At present, it has been used in many applications, such as Now, Huayang Live, Huayang Friends, Mobile QQ Near Hand, Group Video, Group Gift, Huiyin, Tencent Myapp, Penguins and etc. With 80+ WEB/IOS/Andriod stable users, the cumulative production project reached 240+. Feflow refers to the thinking of Pipeline and divides work into five steps: init, develop, build, test, deploy. And corresponding to five basic commands: init, dev, build, test, and deploy. ...
    Downloads: 0 This Week
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