Showing 2 open source projects for "gpu hardware"

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    TensorFlow MacOS

    TensorFlow MacOS

    TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute

    This repository provided a pre-release of TensorFlow and TensorFlow Addons tailored for macOS 11+ with native hardware acceleration via Apple’s ML Compute, supporting both Apple Silicon (M1) and Intel Macs. It shipped ready-made Python 3.8 wheels and install scripts so developers could quickly get an accelerated stack running without building from source. As TensorFlow added a Metal PluggableDevice path, the project directed users toward using Apple’s tensorflow-metal to get GPU acceleration on Mac directly through Metal. ...
    Downloads: 0 This Week
    Last Update:
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    macOS Simple KVM

    macOS Simple KVM

    Tools to set up a quick macOS VM in QEMU, accelerated by KVM

    macOS-Simple-KVM is a project that provides scripts and configuration files to easily set up and run macOS in a virtual machine using QEMU and KVM. It simplifies what is typically a complex process by offering a straightforward approach to creating a macOS VM on Linux systems with hardware virtualization support. The repository includes tools for preparing installation media, configuring virtual hardware, and managing VM launch scripts. By using KVM acceleration, the virtual machine runs with near-native performance, making it useful for testing, development, or personal experimentation. The project also supports GPU passthrough and other advanced configurations for users who want a more optimized macOS VM environment. ...
    Downloads: 6 This Week
    Last Update:
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