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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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@hanzichen · Post #1390 · 11/22/2025, 02:00 PM

VolumeShader毒蘑菇显卡测试 | 基于 WebGL 的 GPU 性能测试平台 一款基于浏览器的GPU性能测试工具,通过实时3D体积渲染精确测量您的显卡性能。提供详细的FPS、帧时间和GPU使用率数据,无需下载安装即可获得专业级基准测试结果。一个在浏览器中运行的 GPU 基准测试工具,使用 3D 体积渲染(volume rendering)技术来评估设备显卡性能。它通过 WebGL 实现实时体积着色器 (shader) 效果,并提供多个测试场景(如分形 Mandelbulb、Julia 集)和不同难度等级(从低强度到 “地狱级”)来施加 GPU 压力。测试过程中会实时显示 FPS(帧率)、帧时间等性能指标,无需安装任何软件。 点击访问 #GPU性能测试#WebGL#体积渲染#在线基准测试#VolumeShader