Showing 1 open source project for "performance"

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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.
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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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    Real-ESRGAN Video Enhance

    Real-ESRGAN Video Enhance

    Real-ESRGAN video upscaler with resumability

    ...It utilizes Real-ESRGAN-can-Vulkan, FFmpeg and MediaInfo under the hood. REVE employs a segment-based approach to video upscaling, allowing it to simultaneously upscale and encode videos. This results in a notable enhancement in performance and enables the feature of reusability. You can download Windows executable file for Intel/AMD/Nvidia GPU. This executable file is portable and includes all the binaries and models required. No CUDA or PyTorch environment is needed.
    Downloads: 5 This Week
    Last Update:
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